Overview

Dataset statistics

Number of variables173
Number of observations20000
Missing cells1146940
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 MiB
Average record size in memory1.4 KiB

Variable types

Numeric154
Categorical19

Alerts

HR-min is highly correlated with HR-max and 2 other fieldsHigh correlation
HR-max is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-min is highly correlated with O2Sat-meanHigh correlation
O2Sat-max is highly correlated with O2Sat-mean and 1 other fieldsHigh correlation
O2Sat-mean is highly correlated with O2Sat-min and 2 other fieldsHigh correlation
O2Sat-median is highly correlated with O2Sat-max and 1 other fieldsHigh correlation
Temp-min is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-min and 2 other fieldsHigh correlation
Temp-median is highly correlated with Temp-min and 2 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 5 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 5 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 7 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 6 other fieldsHigh correlation
MAP-min is highly correlated with SBP-min and 7 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 7 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-min and 10 other fieldsHigh correlation
MAP-median is highly correlated with SBP-min and 10 other fieldsHigh correlation
DBP-min is highly correlated with SBP-min and 5 other fieldsHigh correlation
DBP-max is highly correlated with SBP-max and 5 other fieldsHigh correlation
DBP-mean is highly correlated with SBP-mean and 7 other fieldsHigh correlation
DBP-median is highly correlated with MAP-min and 6 other fieldsHigh correlation
Resp-min is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-max is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-min and 2 other fieldsHigh correlation
Resp-median is highly correlated with Resp-min and 2 other fieldsHigh correlation
EtCO2-min is highly correlated with EtCO2-max and 2 other fieldsHigh correlation
EtCO2-max is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
EtCO2-mean is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
EtCO2-median is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-max and 8 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 8 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 8 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 7 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-max and 5 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
FiO2-min is highly correlated with FiO2-max and 2 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-median is highly correlated with FiO2-min and 2 other fieldsHigh correlation
pH-min is highly correlated with BaseExcess-min and 4 other fieldsHigh correlation
pH-max is highly correlated with pH-mean and 2 other fieldsHigh correlation
pH-mean is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
PaCO2-min is highly correlated with pH-max and 3 other fieldsHigh correlation
PaCO2-max is highly correlated with pH-min and 3 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-max and 2 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-min and 2 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-min and 2 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 6 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-max and 2 other fieldsHigh correlation
Calcium-max is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-min is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-mean is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-median is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with Phosphate-max and 2 other fieldsHigh correlation
Phosphate-max is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-mean is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-median is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 6 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
HR-min is highly correlated with HR-max and 2 other fieldsHigh correlation
HR-max is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-max is highly correlated with O2Sat-mean and 1 other fieldsHigh correlation
O2Sat-mean is highly correlated with O2Sat-max and 1 other fieldsHigh correlation
O2Sat-median is highly correlated with O2Sat-max and 1 other fieldsHigh correlation
Temp-min is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-min and 2 other fieldsHigh correlation
Temp-median is highly correlated with Temp-min and 2 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 5 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 5 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 8 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 8 other fieldsHigh correlation
MAP-min is highly correlated with SBP-min and 7 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 6 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-min and 10 other fieldsHigh correlation
MAP-median is highly correlated with SBP-min and 9 other fieldsHigh correlation
DBP-min is highly correlated with SBP-min and 5 other fieldsHigh correlation
DBP-max is highly correlated with SBP-max and 4 other fieldsHigh correlation
DBP-mean is highly correlated with SBP-mean and 8 other fieldsHigh correlation
DBP-median is highly correlated with SBP-mean and 7 other fieldsHigh correlation
Resp-min is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-max is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-min and 2 other fieldsHigh correlation
Resp-median is highly correlated with Resp-min and 2 other fieldsHigh correlation
EtCO2-min is highly correlated with EtCO2-max and 2 other fieldsHigh correlation
EtCO2-max is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
EtCO2-mean is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
EtCO2-median is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-max and 12 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-min and 8 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 10 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 7 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-meanHigh correlation
FiO2-mean is highly correlated with FiO2-maxHigh correlation
pH-min is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
pH-max is highly correlated with pH-mean and 1 other fieldsHigh correlation
pH-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
PaCO2-min is highly correlated with PaCO2-max and 3 other fieldsHigh correlation
PaCO2-max is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-min and 2 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 9 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 9 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 9 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 9 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-mean and 1 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 1 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 1 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with PaCO2-min and 3 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 10 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-min and 10 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 10 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 10 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-min is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with BaseExcess-min and 4 other fieldsHigh correlation
Lactate-mean is highly correlated with BaseExcess-min and 4 other fieldsHigh correlation
Lactate-median is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-max and 2 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with BUN-min and 7 other fieldsHigh correlation
Phosphate-max is highly correlated with BUN-max and 9 other fieldsHigh correlation
Phosphate-mean is highly correlated with BUN-min and 10 other fieldsHigh correlation
Phosphate-median is highly correlated with BUN-min and 10 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 6 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-mean and 1 other fieldsHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
HR-min is highly correlated with HR-mean and 1 other fieldsHigh correlation
HR-max is highly correlated with HR-mean and 1 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-max and 1 other fieldsHigh correlation
Temp-median is highly correlated with Temp-max and 1 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 2 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 2 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 4 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 4 other fieldsHigh correlation
MAP-min is highly correlated with SBP-min and 4 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 3 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 7 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 7 other fieldsHigh correlation
DBP-min is highly correlated with MAP-min and 4 other fieldsHigh correlation
DBP-max is highly correlated with MAP-max and 1 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-min and 5 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 3 other fieldsHigh correlation
Resp-max is highly correlated with Resp-meanHigh correlation
Resp-mean is highly correlated with Resp-max and 1 other fieldsHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
EtCO2-min is highly correlated with EtCO2-mean and 1 other fieldsHigh correlation
EtCO2-max is highly correlated with EtCO2-mean and 1 other fieldsHigh correlation
EtCO2-mean is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
EtCO2-median is highly correlated with EtCO2-min and 2 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 4 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-max and 4 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
FiO2-min is highly correlated with FiO2-max and 2 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-median is highly correlated with FiO2-min and 2 other fieldsHigh correlation
pH-min is highly correlated with pH-mean and 1 other fieldsHigh correlation
pH-max is highly correlated with pH-mean and 1 other fieldsHigh correlation
pH-mean is highly correlated with pH-min and 2 other fieldsHigh correlation
pH-median is highly correlated with pH-min and 2 other fieldsHigh correlation
PaCO2-min is highly correlated with PaCO2-mean and 1 other fieldsHigh correlation
PaCO2-max is highly correlated with PaCO2-mean and 1 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-min and 2 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 5 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 5 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-mean and 1 other fieldsHigh correlation
Calcium-max is highly correlated with Calcium-mean and 1 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 5 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-max and 5 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-max and 1 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-max and 1 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-mean is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-median is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with Phosphate-max and 2 other fieldsHigh correlation
Phosphate-max is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-mean is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-median is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 6 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit2-median and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
SepsisLabel-median is highly correlated with Sepsis-min and 5 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Gender-max is highly correlated with Gender-median and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-max and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-max and 2 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
Unit2-min is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
EtCO2-min has 16784 (83.9%) missing values Missing
EtCO2-max has 16784 (83.9%) missing values Missing
EtCO2-mean has 16784 (83.9%) missing values Missing
EtCO2-median has 16784 (83.9%) missing values Missing
BaseExcess-min has 19442 (97.2%) missing values Missing
BaseExcess-max has 19442 (97.2%) missing values Missing
BaseExcess-mean has 19442 (97.2%) missing values Missing
BaseExcess-median has 19442 (97.2%) missing values Missing
HCO3-min has 19584 (97.9%) missing values Missing
HCO3-max has 19584 (97.9%) missing values Missing
HCO3-mean has 19584 (97.9%) missing values Missing
HCO3-median has 19584 (97.9%) missing values Missing
FiO2-min has 14178 (70.9%) missing values Missing
FiO2-max has 14178 (70.9%) missing values Missing
FiO2-mean has 14178 (70.9%) missing values Missing
FiO2-median has 14178 (70.9%) missing values Missing
pH-min has 14246 (71.2%) missing values Missing
pH-max has 14246 (71.2%) missing values Missing
pH-mean has 14246 (71.2%) missing values Missing
pH-median has 14246 (71.2%) missing values Missing
PaCO2-min has 14221 (71.1%) missing values Missing
PaCO2-max has 14221 (71.1%) missing values Missing
PaCO2-mean has 14221 (71.1%) missing values Missing
PaCO2-median has 14221 (71.1%) missing values Missing
SaO2-min has 14875 (74.4%) missing values Missing
SaO2-max has 14875 (74.4%) missing values Missing
SaO2-mean has 14875 (74.4%) missing values Missing
SaO2-median has 14875 (74.4%) missing values Missing
AST-min has 11536 (57.7%) missing values Missing
AST-max has 11536 (57.7%) missing values Missing
AST-mean has 11536 (57.7%) missing values Missing
AST-median has 11536 (57.7%) missing values Missing
BUN-min has 1591 (8.0%) missing values Missing
BUN-max has 1591 (8.0%) missing values Missing
BUN-mean has 1591 (8.0%) missing values Missing
BUN-median has 1591 (8.0%) missing values Missing
Alkalinephos-min has 11530 (57.6%) missing values Missing
Alkalinephos-max has 11530 (57.6%) missing values Missing
Alkalinephos-mean has 11530 (57.6%) missing values Missing
Alkalinephos-median has 11530 (57.6%) missing values Missing
Calcium-min has 1550 (7.8%) missing values Missing
Calcium-max has 1550 (7.8%) missing values Missing
Calcium-mean has 1550 (7.8%) missing values Missing
Calcium-median has 1550 (7.8%) missing values Missing
Chloride-min has 18383 (91.9%) missing values Missing
Chloride-max has 18383 (91.9%) missing values Missing
Chloride-mean has 18383 (91.9%) missing values Missing
Chloride-median has 18383 (91.9%) missing values Missing
Creatinine-min has 1588 (7.9%) missing values Missing
Creatinine-max has 1588 (7.9%) missing values Missing
Creatinine-mean has 1588 (7.9%) missing values Missing
Creatinine-median has 1588 (7.9%) missing values Missing
Bilirubin_direct-min has 18529 (92.6%) missing values Missing
Bilirubin_direct-max has 18529 (92.6%) missing values Missing
Bilirubin_direct-mean has 18529 (92.6%) missing values Missing
Bilirubin_direct-median has 18529 (92.6%) missing values Missing
Glucose-min has 1173 (5.9%) missing values Missing
Glucose-max has 1173 (5.9%) missing values Missing
Glucose-mean has 1173 (5.9%) missing values Missing
Glucose-median has 1173 (5.9%) missing values Missing
Lactate-min has 15240 (76.2%) missing values Missing
Lactate-max has 15240 (76.2%) missing values Missing
Lactate-mean has 15240 (76.2%) missing values Missing
Lactate-median has 15240 (76.2%) missing values Missing
Magnesium-min has 3543 (17.7%) missing values Missing
Magnesium-max has 3543 (17.7%) missing values Missing
Magnesium-mean has 3543 (17.7%) missing values Missing
Magnesium-median has 3543 (17.7%) missing values Missing
Phosphate-min has 8365 (41.8%) missing values Missing
Phosphate-max has 8365 (41.8%) missing values Missing
Phosphate-mean has 8365 (41.8%) missing values Missing
Phosphate-median has 8365 (41.8%) missing values Missing
Potassium-min has 1434 (7.2%) missing values Missing
Potassium-max has 1434 (7.2%) missing values Missing
Potassium-mean has 1434 (7.2%) missing values Missing
Potassium-median has 1434 (7.2%) missing values Missing
Bilirubin_total-min has 11522 (57.6%) missing values Missing
Bilirubin_total-max has 11522 (57.6%) missing values Missing
Bilirubin_total-mean has 11522 (57.6%) missing values Missing
Bilirubin_total-median has 11522 (57.6%) missing values Missing
TroponinI-min has 13436 (67.2%) missing values Missing
TroponinI-max has 13436 (67.2%) missing values Missing
TroponinI-mean has 13436 (67.2%) missing values Missing
TroponinI-median has 13436 (67.2%) missing values Missing
Hct-min has 1953 (9.8%) missing values Missing
Hct-max has 1953 (9.8%) missing values Missing
Hct-mean has 1953 (9.8%) missing values Missing
Hct-median has 1953 (9.8%) missing values Missing
Hgb-min has 1941 (9.7%) missing values Missing
Hgb-max has 1941 (9.7%) missing values Missing
Hgb-mean has 1941 (9.7%) missing values Missing
Hgb-median has 1941 (9.7%) missing values Missing
PTT-min has 15602 (78.0%) missing values Missing
PTT-max has 15602 (78.0%) missing values Missing
PTT-mean has 15602 (78.0%) missing values Missing
PTT-median has 15602 (78.0%) missing values Missing
WBC-min has 2000 (10.0%) missing values Missing
WBC-max has 2000 (10.0%) missing values Missing
WBC-mean has 2000 (10.0%) missing values Missing
WBC-median has 2000 (10.0%) missing values Missing
Fibrinogen-min has 18052 (90.3%) missing values Missing
Fibrinogen-max has 18052 (90.3%) missing values Missing
Fibrinogen-mean has 18052 (90.3%) missing values Missing
Fibrinogen-median has 18052 (90.3%) missing values Missing
Platelets-min has 1992 (10.0%) missing values Missing
Platelets-max has 1992 (10.0%) missing values Missing
Platelets-mean has 1992 (10.0%) missing values Missing
Platelets-median has 1992 (10.0%) missing values Missing
Unit1-min has 6095 (30.5%) missing values Missing
Unit1-max has 6095 (30.5%) missing values Missing
Unit1-mean has 6095 (30.5%) missing values Missing
Unit1-median has 6095 (30.5%) missing values Missing
Unit2-min has 6095 (30.5%) missing values Missing
Unit2-max has 6095 (30.5%) missing values Missing
Unit2-mean has 6095 (30.5%) missing values Missing
Unit2-median has 6095 (30.5%) missing values Missing
FiO2-min is highly skewed (γ1 = -50.73903075) Skewed
FiO2-max is highly skewed (γ1 = 76.2985385) Skewed
FiO2-mean is highly skewed (γ1 = 76.23783285) Skewed
PatientID is uniformly distributed Uniform
PatientID has unique values Unique
HospAdmTime-min has 1145 (5.7%) zeros Zeros
HospAdmTime-max has 1145 (5.7%) zeros Zeros
HospAdmTime-mean has 1145 (5.7%) zeros Zeros
HospAdmTime-median has 1145 (5.7%) zeros Zeros
SepsisLabel-mean has 18858 (94.3%) zeros Zeros

Reproduction

Analysis started2021-11-29 10:32:15.961413
Analysis finished2021-11-29 10:33:10.968518
Duration55.01 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

PatientID
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110000.5
Minimum100001
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:11.017184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum100001
5-th percentile101000.95
Q1105000.75
median110000.5
Q3115000.25
95-th percentile119000.05
Maximum120000
Range19999
Interquartile range (IQR)9999.5

Descriptive statistics

Standard deviation5773.647028
Coefficient of variation (CV)0.05248746167
Kurtosis-1.2
Mean110000.5
Median Absolute Deviation (MAD)5000
Skewness0
Sum2200010000
Variance33335000
MonotonicityStrictly increasing
2021-11-29T11:33:11.125727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000011
 
< 0.1%
1133311
 
< 0.1%
1133381
 
< 0.1%
1133371
 
< 0.1%
1133361
 
< 0.1%
1133351
 
< 0.1%
1133341
 
< 0.1%
1133331
 
< 0.1%
1133321
 
< 0.1%
1133301
 
< 0.1%
Other values (19990)19990
> 99.9%
ValueCountFrequency (%)
1000011
< 0.1%
1000021
< 0.1%
1000031
< 0.1%
1000041
< 0.1%
1000051
< 0.1%
1000061
< 0.1%
1000071
< 0.1%
1000081
< 0.1%
1000091
< 0.1%
1000101
< 0.1%
ValueCountFrequency (%)
1200001
< 0.1%
1199991
< 0.1%
1199981
< 0.1%
1199971
< 0.1%
1199961
< 0.1%
1199951
< 0.1%
1199941
< 0.1%
1199931
< 0.1%
1199921
< 0.1%
1199911
< 0.1%

HR-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct197
Distinct (%)1.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean69.45094019
Minimum20
Maximum154.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:11.238406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile48
Q160
median68
Q378
95-th percentile94
Maximum154.5
Range134.5
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.23210391
Coefficient of variation (CV)0.2049231281
Kurtosis0.5554990009
Mean69.45094019
Median Absolute Deviation (MAD)9
Skewness0.4629014619
Sum1388741
Variance202.5527818
MonotonicityNot monotonic
2021-11-29T11:33:11.345054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60823
 
4.1%
68676
 
3.4%
62672
 
3.4%
70643
 
3.2%
66606
 
3.0%
64592
 
3.0%
58561
 
2.8%
80535
 
2.7%
74529
 
2.6%
72522
 
2.6%
Other values (187)13837
69.2%
ValueCountFrequency (%)
203
< 0.1%
212
< 0.1%
222
< 0.1%
231
 
< 0.1%
23.51
 
< 0.1%
241
 
< 0.1%
252
< 0.1%
262
< 0.1%
26.51
 
< 0.1%
272
< 0.1%
ValueCountFrequency (%)
154.51
 
< 0.1%
1461
 
< 0.1%
1361
 
< 0.1%
1341
 
< 0.1%
133.51
 
< 0.1%
1331
 
< 0.1%
132.51
 
< 0.1%
1322
< 0.1%
1303
< 0.1%
128.51
 
< 0.1%

HR-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct250
Distinct (%)1.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean101.0054761
Minimum42
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:11.451413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile72
Q187
median100
Q3113
95-th percentile135.625
Maximum211
Range169
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.5572884
Coefficient of variation (CV)0.1936260206
Kurtosis0.3146285639
Mean101.0054761
Median Absolute Deviation (MAD)13
Skewness0.4659869627
Sum2019705.5
Variance382.4875294
MonotonicityNot monotonic
2021-11-29T11:33:11.551154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90541
 
2.7%
96499
 
2.5%
100488
 
2.4%
92479
 
2.4%
102458
 
2.3%
94453
 
2.3%
104444
 
2.2%
98435
 
2.2%
106409
 
2.0%
84405
 
2.0%
Other values (240)15385
76.9%
ValueCountFrequency (%)
421
 
< 0.1%
441
 
< 0.1%
451
 
< 0.1%
482
 
< 0.1%
492
 
< 0.1%
502
 
< 0.1%
514
 
< 0.1%
527
< 0.1%
532
 
< 0.1%
5411
0.1%
ValueCountFrequency (%)
2111
 
< 0.1%
1941
 
< 0.1%
1912
< 0.1%
1862
< 0.1%
1842
< 0.1%
182.51
 
< 0.1%
1822
< 0.1%
181.51
 
< 0.1%
1811
 
< 0.1%
1803
< 0.1%

HR-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15131
Distinct (%)75.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean83.04871048
Minimum33.36
Maximum174.6976744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:11.656444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33.36
5-th percentile60.42152123
Q172.19230769
median82.17248284
Q392.6
95-th percentile109.1428571
Maximum174.6976744
Range141.3376744
Interquartile range (IQR)20.40769231

Descriptive statistics

Standard deviation14.99990916
Coefficient of variation (CV)0.1806157985
Kurtosis0.2303158873
Mean83.04871048
Median Absolute Deviation (MAD)10.17248284
Skewness0.3821272666
Sum1660642.015
Variance224.9972747
MonotonicityNot monotonic
2021-11-29T11:33:11.754998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6828
 
0.1%
72.523
 
0.1%
8023
 
0.1%
8621
 
0.1%
9021
 
0.1%
7020
 
0.1%
7720
 
0.1%
8319
 
0.1%
7619
 
0.1%
8119
 
0.1%
Other values (15121)19783
98.9%
ValueCountFrequency (%)
33.361
< 0.1%
37.285714291
< 0.1%
37.960526321
< 0.1%
38.783783781
< 0.1%
38.9843751
< 0.1%
39.867647061
< 0.1%
40.03260871
< 0.1%
40.931818181
< 0.1%
40.93751
< 0.1%
41.28260871
< 0.1%
ValueCountFrequency (%)
174.69767441
< 0.1%
158.21428571
< 0.1%
156.14285711
< 0.1%
1531
< 0.1%
148.51960781
< 0.1%
145.65454551
< 0.1%
145.21
< 0.1%
144.84090911
< 0.1%
143.23333331
< 0.1%
140.73404261
< 0.1%

HR-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct359
Distinct (%)1.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean82.45575365
Minimum31
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:11.860312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile59.5
Q171
median81.5
Q392
95-th percentile109.5
Maximum176
Range145
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.47201459
Coefficient of variation (CV)0.1876402058
Kurtosis0.2671783352
Mean82.45575365
Median Absolute Deviation (MAD)10.5
Skewness0.4075821578
Sum1648785.25
Variance239.3832353
MonotonicityNot monotonic
2021-11-29T11:33:11.958489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80606
 
3.0%
90536
 
2.7%
82475
 
2.4%
70454
 
2.3%
78454
 
2.3%
84449
 
2.2%
74423
 
2.1%
76404
 
2.0%
72396
 
2.0%
86395
 
2.0%
Other values (349)15404
77.0%
ValueCountFrequency (%)
311
 
< 0.1%
31.51
 
< 0.1%
331
 
< 0.1%
361
 
< 0.1%
372
< 0.1%
37.751
 
< 0.1%
382
< 0.1%
391
 
< 0.1%
404
< 0.1%
40.51
 
< 0.1%
ValueCountFrequency (%)
1761
 
< 0.1%
1631
 
< 0.1%
156.51
 
< 0.1%
1561
 
< 0.1%
1551
 
< 0.1%
1471
 
< 0.1%
1462
< 0.1%
1433
< 0.1%
142.52
< 0.1%
1422
< 0.1%

O2Sat-min
Real number (ℝ≥0)

HIGH CORRELATION

Distinct125
Distinct (%)0.6%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean91.8326748
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:12.066783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile82.5
Q191
median93
Q395
95-th percentile98
Maximum100
Range80
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.728730914
Coefficient of variation (CV)0.07327164246
Kurtosis34.74170797
Mean91.8326748
Median Absolute Deviation (MAD)2
Skewness-4.726614861
Sum1836102.5
Variance45.27581971
MonotonicityNot monotonic
2021-11-29T11:33:12.166001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
942162
10.8%
932161
10.8%
922152
10.8%
952018
10.1%
961666
 
8.3%
911616
 
8.1%
901372
 
6.9%
971183
 
5.9%
89650
 
3.2%
98639
 
3.2%
Other values (115)4375
21.9%
ValueCountFrequency (%)
2012
0.1%
214
 
< 0.1%
224
 
< 0.1%
233
 
< 0.1%
246
< 0.1%
263
 
< 0.1%
271
 
< 0.1%
282
 
< 0.1%
293
 
< 0.1%
303
 
< 0.1%
ValueCountFrequency (%)
100183
 
0.9%
99.526
 
0.1%
99323
 
1.6%
98.538
 
0.2%
98639
 
3.2%
97.577
 
0.4%
971183
5.9%
96.598
 
0.5%
961666
8.3%
95.5119
 
0.6%

O2Sat-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct29
Distinct (%)0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean99.49494848
Minimum74
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:12.259565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q199
median100
Q3100
95-th percentile100
Maximum100
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.074129091
Coefficient of variation (CV)0.01079581534
Kurtosis49.7162905
Mean99.49494848
Median Absolute Deviation (MAD)0
Skewness-4.482165863
Sum1989302
Variance1.153753304
MonotonicityNot monotonic
2021-11-29T11:33:12.347107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
10014526
72.6%
992416
 
12.1%
981529
 
7.6%
97650
 
3.2%
96243
 
1.2%
99.5209
 
1.0%
98.5140
 
0.7%
9588
 
0.4%
97.576
 
0.4%
96.539
 
0.2%
Other values (19)78
 
0.4%
ValueCountFrequency (%)
741
 
< 0.1%
791
 
< 0.1%
801
 
< 0.1%
821
 
< 0.1%
831
 
< 0.1%
841
 
< 0.1%
852
< 0.1%
863
< 0.1%
871
 
< 0.1%
892
< 0.1%
ValueCountFrequency (%)
10014526
72.6%
99.5209
 
1.0%
992416
 
12.1%
98.5140
 
0.7%
981529
 
7.6%
97.576
 
0.4%
97650
 
3.2%
96.539
 
0.2%
96243
 
1.2%
95.513
 
0.1%

O2Sat-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7737
Distinct (%)38.7%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean97.10576372
Minimum65.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:12.443219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum65.5
5-th percentile94
Q196.01860587
median97.32240143
Q398.47660576
95-th percentile99.65625
Maximum100
Range34.5
Interquartile range (IQR)2.457999889

Descriptive statistics

Standard deviation1.944590634
Coefficient of variation (CV)0.02002549137
Kurtosis22.29509362
Mean97.10576372
Median Absolute Deviation (MAD)1.221587214
Skewness-2.439035024
Sum1941532.64
Variance3.781432733
MonotonicityNot monotonic
2021-11-29T11:33:12.541792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100183
 
0.9%
98141
 
0.7%
97131
 
0.7%
97.5118
 
0.6%
98.5113
 
0.6%
99102
 
0.5%
96.592
 
0.5%
9691
 
0.5%
99.568
 
0.3%
98.2563
 
0.3%
Other values (7727)18892
94.5%
ValueCountFrequency (%)
65.51
< 0.1%
66.857142861
< 0.1%
67.725806451
< 0.1%
721
< 0.1%
72.583333331
< 0.1%
73.442857141
< 0.1%
74.333333331
< 0.1%
74.803921571
< 0.1%
75.588235291
< 0.1%
76.321428571
< 0.1%
ValueCountFrequency (%)
100183
0.9%
99.990740741
 
< 0.1%
99.98936171
 
< 0.1%
99.986111111
 
< 0.1%
99.985714291
 
< 0.1%
99.985294121
 
< 0.1%
99.9843751
 
< 0.1%
99.981818181
 
< 0.1%
99.980769231
 
< 0.1%
99.979166671
 
< 0.1%

O2Sat-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct70
Distinct (%)0.4%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean97.41654996
Minimum62.25
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:12.646634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum62.25
5-th percentile94
Q196
median98
Q399
95-th percentile100
Maximum100
Range37.75
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.061559043
Coefficient of variation (CV)0.02116230809
Kurtosis17.04957528
Mean97.41654996
Median Absolute Deviation (MAD)1.5
Skewness-1.901720785
Sum1947746.5
Variance4.25002569
MonotonicityNot monotonic
2021-11-29T11:33:12.746597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003296
16.5%
983224
16.1%
972808
14.0%
992536
12.7%
962450
12.2%
951451
7.3%
94681
 
3.4%
97.5441
 
2.2%
98.5391
 
2.0%
96.5389
 
1.9%
Other values (60)2327
11.6%
ValueCountFrequency (%)
62.251
< 0.1%
651
< 0.1%
671
< 0.1%
721
< 0.1%
731
< 0.1%
751
< 0.1%
761
< 0.1%
76.751
< 0.1%
772
< 0.1%
782
< 0.1%
ValueCountFrequency (%)
1003296
16.5%
99.7577
 
0.4%
99.5298
 
1.5%
99.2587
 
0.4%
992536
12.7%
98.7592
 
0.5%
98.5391
 
2.0%
98.2589
 
0.4%
983224
16.1%
97.7598
 
0.5%

Temp-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct136
Distinct (%)0.7%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean36.0829808
Minimum30
Maximum39.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:12.853133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile35.15
Q135.8
median36.1
Q336.5
95-th percentile37
Maximum39.2
Range9.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.6146643085
Coefficient of variation (CV)0.01703474311
Kurtosis9.011881438
Mean36.0829808
Median Absolute Deviation (MAD)0.3
Skewness-1.324003618
Sum719891.55
Variance0.3778122121
MonotonicityNot monotonic
2021-11-29T11:33:12.952798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362163
 
10.8%
36.41415
 
7.1%
36.21399
 
7.0%
36.51320
 
6.6%
36.31304
 
6.5%
36.11258
 
6.3%
35.91142
 
5.7%
35.81039
 
5.2%
36.6961
 
4.8%
35.6920
 
4.6%
Other values (126)7030
35.1%
ValueCountFrequency (%)
303
< 0.1%
30.11
 
< 0.1%
30.41
 
< 0.1%
30.52
< 0.1%
30.61
 
< 0.1%
30.81
 
< 0.1%
30.92
< 0.1%
31.21
 
< 0.1%
31.251
 
< 0.1%
31.31
 
< 0.1%
ValueCountFrequency (%)
39.21
 
< 0.1%
39.11
 
< 0.1%
38.83
< 0.1%
38.73
< 0.1%
38.61
 
< 0.1%
38.52
 
< 0.1%
38.43
< 0.1%
38.35
< 0.1%
38.24
< 0.1%
38.17
< 0.1%

Temp-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct117
Distinct (%)0.6%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.35684928
Minimum32.6
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:13.053797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum32.6
5-th percentile36.4
Q136.9
median37.3
Q337.8
95-th percentile38.6
Maximum50
Range17.4
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.7075059994
Coefficient of variation (CV)0.01893912396
Kurtosis11.62398671
Mean37.35684928
Median Absolute Deviation (MAD)0.4
Skewness1.204899895
Sum745306.5
Variance0.5005647391
MonotonicityNot monotonic
2021-11-29T11:33:13.151791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
371537
 
7.7%
37.21302
 
6.5%
36.81287
 
6.4%
37.11211
 
6.1%
36.91089
 
5.4%
37.41058
 
5.3%
37.51024
 
5.1%
37.61008
 
5.0%
37.31003
 
5.0%
36.7925
 
4.6%
Other values (107)8507
42.5%
ValueCountFrequency (%)
32.61
 
< 0.1%
32.81
 
< 0.1%
33.31
 
< 0.1%
33.51
 
< 0.1%
342
< 0.1%
34.11
 
< 0.1%
34.41
 
< 0.1%
34.51
 
< 0.1%
34.91
 
< 0.1%
353
< 0.1%
ValueCountFrequency (%)
502
< 0.1%
42.11
< 0.1%
41.81
< 0.1%
41.51
< 0.1%
41.42
< 0.1%
41.31
< 0.1%
41.251
< 0.1%
411
< 0.1%
40.91
< 0.1%
40.81
< 0.1%

Temp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5252
Distinct (%)26.3%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean36.77130518
Minimum31.44444444
Maximum39.7375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:13.259619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31.44444444
5-th percentile36
Q136.44
median36.72567568
Q337.0822479
95-th percentile37.67330317
Maximum39.7375
Range8.293055556
Interquartile range (IQR)0.6422478992

Descriptive statistics

Standard deviation0.5290535673
Coefficient of variation (CV)0.01438767443
Kurtosis3.225961007
Mean36.77130518
Median Absolute Deviation (MAD)0.3187687688
Skewness-0.009018216435
Sum733624.3097
Variance0.2798976771
MonotonicityNot monotonic
2021-11-29T11:33:13.693468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5243
 
1.2%
36.6233
 
1.2%
36.4191
 
1.0%
36.7164
 
0.8%
36.9150
 
0.8%
36.8149
 
0.7%
36.3130
 
0.7%
37123
 
0.6%
36116
 
0.6%
36.55113
 
0.6%
Other values (5242)18339
91.7%
ValueCountFrequency (%)
31.444444441
< 0.1%
32.307142861
< 0.1%
32.442857141
< 0.1%
32.81
< 0.1%
32.932352941
< 0.1%
32.951
< 0.1%
33.083333331
< 0.1%
33.105769231
< 0.1%
33.351
< 0.1%
33.398611111
< 0.1%
ValueCountFrequency (%)
39.73751
< 0.1%
39.714516131
< 0.1%
39.6751
< 0.1%
39.507142861
< 0.1%
39.366666671
< 0.1%
39.222916671
< 0.1%
39.160294121
< 0.1%
39.11
< 0.1%
39.051
< 0.1%
38.981
< 0.1%

Temp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct219
Distinct (%)1.1%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean36.78687033
Minimum31.4
Maximum40.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:13.794483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31.4
5-th percentile36
Q136.45
median36.7
Q337.1
95-th percentile37.75
Maximum40.4
Range9
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.5584923396
Coefficient of variation (CV)0.01518183892
Kurtosis3.428382447
Mean36.78687033
Median Absolute Deviation (MAD)0.3
Skewness-0.03114273631
Sum733934.85
Variance0.3119136934
MonotonicityNot monotonic
2021-11-29T11:33:13.891244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.61367
 
6.8%
36.51317
 
6.6%
36.81278
 
6.4%
36.71263
 
6.3%
371078
 
5.4%
36.4911
 
4.6%
36.9884
 
4.4%
37.1742
 
3.7%
36.3709
 
3.5%
37.2678
 
3.4%
Other values (209)9724
48.6%
ValueCountFrequency (%)
31.41
 
< 0.1%
32.12
< 0.1%
32.82
< 0.1%
32.952
< 0.1%
332
< 0.1%
33.051
 
< 0.1%
33.11
 
< 0.1%
33.23
< 0.1%
33.252
< 0.1%
33.351
 
< 0.1%
ValueCountFrequency (%)
40.41
 
< 0.1%
40.11
 
< 0.1%
402
< 0.1%
39.51
 
< 0.1%
39.41
 
< 0.1%
39.31
 
< 0.1%
39.251
 
< 0.1%
39.21
 
< 0.1%
39.14
< 0.1%
39.051
 
< 0.1%

SBP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct272
Distinct (%)1.4%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean98.92293402
Minimum20
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:13.990392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile73
Q187
median97
Q3110
95-th percentile131
Maximum183
Range163
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.89705432
Coefficient of variation (CV)0.1809191619
Kurtosis0.8313712617
Mean98.92293402
Median Absolute Deviation (MAD)11
Skewness0.239846158
Sum1976084.53
Variance320.3045533
MonotonicityNot monotonic
2021-11-29T11:33:14.089619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90540
 
2.7%
92530
 
2.6%
94525
 
2.6%
96495
 
2.5%
91479
 
2.4%
100477
 
2.4%
98469
 
2.3%
102445
 
2.2%
93445
 
2.2%
86443
 
2.2%
Other values (262)15128
75.6%
ValueCountFrequency (%)
204
< 0.1%
212
 
< 0.1%
225
< 0.1%
244
< 0.1%
254
< 0.1%
271
 
< 0.1%
281
 
< 0.1%
291
 
< 0.1%
304
< 0.1%
311
 
< 0.1%
ValueCountFrequency (%)
1831
 
< 0.1%
1711
 
< 0.1%
1681
 
< 0.1%
1673
< 0.1%
1661
 
< 0.1%
1655
< 0.1%
1644
< 0.1%
163.51
 
< 0.1%
1635
< 0.1%
1621
 
< 0.1%

SBP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct371
Distinct (%)1.9%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean157.0853599
Minimum66
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:14.196776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile117
Q1138
median155
Q3174
95-th percentile203
Maximum300
Range234
Interquartile range (IQR)36

Descriptive statistics

Standard deviation26.80667552
Coefficient of variation (CV)0.1706503746
Kurtosis0.8191790347
Mean157.0853599
Median Absolute Deviation (MAD)18
Skewness0.5269478231
Sum3137937.15
Variance718.5978525
MonotonicityNot monotonic
2021-11-29T11:33:14.297646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140344
 
1.7%
156318
 
1.6%
158317
 
1.6%
150314
 
1.6%
164312
 
1.6%
154306
 
1.5%
146306
 
1.5%
148298
 
1.5%
168297
 
1.5%
152293
 
1.5%
Other values (361)16871
84.4%
ValueCountFrequency (%)
662
< 0.1%
701
 
< 0.1%
721
 
< 0.1%
741
 
< 0.1%
751
 
< 0.1%
761
 
< 0.1%
771
 
< 0.1%
791
 
< 0.1%
801
 
< 0.1%
823
< 0.1%
ValueCountFrequency (%)
3001
 
< 0.1%
2991
 
< 0.1%
2981
 
< 0.1%
2963
< 0.1%
2951
 
< 0.1%
2941
 
< 0.1%
2932
< 0.1%
2922
< 0.1%
2902
< 0.1%
2871
 
< 0.1%

SBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15753
Distinct (%)78.9%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.4104727
Minimum54.54166667
Maximum203.775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:14.400906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum54.54166667
5-th percentile98.52083333
Q1112.8333333
median125
Q3138.7410714
95-th percentile159.1377467
Maximum203.775
Range149.2333333
Interquartile range (IQR)25.9077381

Descriptive statistics

Standard deviation18.61359086
Coefficient of variation (CV)0.1472472215
Kurtosis-0.03379315869
Mean126.4104727
Median Absolute Deviation (MAD)12.78947368
Skewness0.3318814023
Sum2525175.602
Variance346.4657649
MonotonicityNot monotonic
2021-11-29T11:33:14.501906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12821
 
0.1%
11617
 
0.1%
12717
 
0.1%
12217
 
0.1%
12517
 
0.1%
14216
 
0.1%
11016
 
0.1%
116.516
 
0.1%
13316
 
0.1%
12415
 
0.1%
Other values (15743)19808
99.0%
(Missing)24
 
0.1%
ValueCountFrequency (%)
54.541666671
< 0.1%
56.298076921
< 0.1%
57.5751
< 0.1%
60.346153851
< 0.1%
651
< 0.1%
65.1251
< 0.1%
65.270833331
< 0.1%
661
< 0.1%
66.090909091
< 0.1%
68.51
< 0.1%
ValueCountFrequency (%)
203.7751
< 0.1%
200.78301891
< 0.1%
200.15555561
< 0.1%
197.21
< 0.1%
197.14285711
< 0.1%
196.80434781
< 0.1%
194.18627451
< 0.1%
192.751
< 0.1%
192.43965521
< 0.1%
192.18571431
< 0.1%

SBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct485
Distinct (%)2.4%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.0335653
Minimum51
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:14.607057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile98
Q1112
median124.5
Q3139
95-th percentile160
Maximum207
Range156
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.12587448
Coefficient of variation (CV)0.1517522291
Kurtosis-0.0662913949
Mean126.0335653
Median Absolute Deviation (MAD)13.5
Skewness0.3496266683
Sum2517646.5
Variance365.7990745
MonotonicityNot monotonic
2021-11-29T11:33:14.707721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116331
 
1.7%
118316
 
1.6%
112313
 
1.6%
132312
 
1.6%
120306
 
1.5%
126304
 
1.5%
110301
 
1.5%
114298
 
1.5%
124298
 
1.5%
128297
 
1.5%
Other values (475)16900
84.5%
ValueCountFrequency (%)
511
< 0.1%
51.51
< 0.1%
54.51
< 0.1%
621
< 0.1%
631
< 0.1%
651
< 0.1%
65.51
< 0.1%
662
< 0.1%
66.51
< 0.1%
68.51
< 0.1%
ValueCountFrequency (%)
2071
 
< 0.1%
2031
 
< 0.1%
2021
 
< 0.1%
1981
 
< 0.1%
1971
 
< 0.1%
196.51
 
< 0.1%
195.51
 
< 0.1%
1953
< 0.1%
194.752
< 0.1%
1944
< 0.1%

MAP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct177
Distinct (%)0.9%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean68.7824907
Minimum30
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:14.815817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile50
Q160
median67
Q376
95-th percentile92
Maximum140
Range110
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.80219302
Coefficient of variation (CV)0.1861257551
Kurtosis0.8476084219
Mean68.7824907
Median Absolute Deviation (MAD)8
Skewness0.4956551988
Sum1368634
Variance163.8961461
MonotonicityNot monotonic
2021-11-29T11:33:14.916071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64775
 
3.9%
62761
 
3.8%
68699
 
3.5%
66680
 
3.4%
70670
 
3.4%
60657
 
3.3%
61644
 
3.2%
65641
 
3.2%
63632
 
3.2%
67613
 
3.1%
Other values (167)13126
65.6%
ValueCountFrequency (%)
3010
 
0.1%
3115
0.1%
3218
0.1%
3318
0.1%
349
 
< 0.1%
34.52
 
< 0.1%
3512
0.1%
35.51
 
< 0.1%
3627
0.1%
36.53
 
< 0.1%
ValueCountFrequency (%)
1401
< 0.1%
1361
< 0.1%
1301
< 0.1%
1292
< 0.1%
1261
< 0.1%
1251
< 0.1%
1241
< 0.1%
1231
< 0.1%
122.52
< 0.1%
1222
< 0.1%

MAP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct343
Distinct (%)1.7%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean110.3982561
Minimum43.5
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:15.019495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum43.5
5-th percentile83
Q196
median107
Q3120
95-th percentile146
Maximum300
Range256.5
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.46768543
Coefficient of variation (CV)0.2125729723
Kurtosis13.67664927
Mean110.3982561
Median Absolute Deviation (MAD)12
Skewness2.536329695
Sum2196704.5
Variance550.7322596
MonotonicityNot monotonic
2021-11-29T11:33:15.120990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100468
 
2.3%
104460
 
2.3%
98455
 
2.3%
96447
 
2.2%
102445
 
2.2%
106434
 
2.2%
108426
 
2.1%
105423
 
2.1%
110423
 
2.1%
103417
 
2.1%
Other values (333)15500
77.5%
ValueCountFrequency (%)
43.51
 
< 0.1%
553
< 0.1%
571
 
< 0.1%
581
 
< 0.1%
602
 
< 0.1%
611
 
< 0.1%
623
< 0.1%
62.51
 
< 0.1%
635
< 0.1%
642
 
< 0.1%
ValueCountFrequency (%)
3004
< 0.1%
2985
< 0.1%
2963
< 0.1%
2951
 
< 0.1%
2944
< 0.1%
2932
 
< 0.1%
2922
 
< 0.1%
2912
 
< 0.1%
2903
< 0.1%
2882
 
< 0.1%

MAP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct14332
Distinct (%)72.0%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean86.74191272
Minimum34.29166667
Maximum143.2285714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:15.221556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum34.29166667
5-th percentile68.62435345
Q177.26923077
median85.13126566
Q394.64404762
95-th percentile110.3827381
Maximum143.2285714
Range108.9369048
Interquartile range (IQR)17.37481685

Descriptive statistics

Standard deviation12.90803422
Coefficient of variation (CV)0.1488096564
Kurtosis0.3753422494
Mean86.74191272
Median Absolute Deviation (MAD)8.535401003
Skewness0.6007607492
Sum1725990.579
Variance166.6173475
MonotonicityNot monotonic
2021-11-29T11:33:15.418252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8534
 
0.2%
8031
 
0.2%
8730
 
0.1%
9228
 
0.1%
9127
 
0.1%
8226
 
0.1%
9325
 
0.1%
8125
 
0.1%
79.523
 
0.1%
8922
 
0.1%
Other values (14322)19627
98.1%
(Missing)102
 
0.5%
ValueCountFrequency (%)
34.291666671
< 0.1%
38.468751
< 0.1%
45.791666671
< 0.1%
46.166666671
< 0.1%
46.956521741
< 0.1%
48.039473681
< 0.1%
48.51
< 0.1%
491
< 0.1%
50.056818181
< 0.1%
50.285714291
< 0.1%
ValueCountFrequency (%)
143.22857141
< 0.1%
141.06451611
< 0.1%
140.72413791
< 0.1%
140.40566041
< 0.1%
1401
< 0.1%
139.93751
< 0.1%
138.99074071
< 0.1%
138.13636361
< 0.1%
137.51
< 0.1%
137.41304351
< 0.1%

MAP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct322
Distinct (%)1.6%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean86.18930295
Minimum33
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:15.520459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile68
Q176.5
median84.75
Q394
95-th percentile110.5
Maximum144
Range111
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.16411582
Coefficient of variation (CV)0.1527349146
Kurtosis0.3658354042
Mean86.18930295
Median Absolute Deviation (MAD)8.75
Skewness0.5997528945
Sum1714994.75
Variance173.2939454
MonotonicityNot monotonic
2021-11-29T11:33:15.618110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78558
 
2.8%
82540
 
2.7%
80504
 
2.5%
76501
 
2.5%
88497
 
2.5%
86488
 
2.4%
77464
 
2.3%
84455
 
2.3%
74432
 
2.2%
90420
 
2.1%
Other values (312)15039
75.2%
ValueCountFrequency (%)
331
 
< 0.1%
341
 
< 0.1%
43.51
 
< 0.1%
453
< 0.1%
48.51
 
< 0.1%
491
 
< 0.1%
49.751
 
< 0.1%
503
< 0.1%
512
< 0.1%
51.51
 
< 0.1%
ValueCountFrequency (%)
1441
 
< 0.1%
143.51
 
< 0.1%
1431
 
< 0.1%
1411
 
< 0.1%
1404
< 0.1%
139.51
 
< 0.1%
139.251
 
< 0.1%
138.52
< 0.1%
1382
< 0.1%
1372
< 0.1%

DBP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct160
Distinct (%)0.8%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean51.84656737
Minimum20
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:15.723401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile35
Q145
median51
Q358
95-th percentile70
Maximum109
Range89
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.49105356
Coefficient of variation (CV)0.2023480838
Kurtosis0.7413570725
Mean51.84656737
Median Absolute Deviation (MAD)6
Skewness0.2899518895
Sum1035531.49
Variance110.0622048
MonotonicityNot monotonic
2021-11-29T11:33:15.820290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
501044
 
5.2%
52923
 
4.6%
51864
 
4.3%
56776
 
3.9%
54775
 
3.9%
55767
 
3.8%
53767
 
3.8%
48759
 
3.8%
46695
 
3.5%
44645
 
3.2%
Other values (150)11958
59.8%
ValueCountFrequency (%)
2017
0.1%
20.53
 
< 0.1%
2115
0.1%
21.55
 
< 0.1%
2217
0.1%
2319
0.1%
23.52
 
< 0.1%
2431
0.2%
24.51
 
< 0.1%
2531
0.2%
ValueCountFrequency (%)
1091
 
< 0.1%
1051
 
< 0.1%
971
 
< 0.1%
962
< 0.1%
954
< 0.1%
942
< 0.1%
933
< 0.1%
92.51
 
< 0.1%
921
 
< 0.1%
91.51
 
< 0.1%

DBP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct332
Distinct (%)1.7%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean88.14609273
Minimum32
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:15.919191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile64
Q175.5
median85
Q397
95-th percentile120
Maximum300
Range268
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation20.65945875
Coefficient of variation (CV)0.2343774762
Kurtosis19.22165676
Mean88.14609273
Median Absolute Deviation (MAD)11
Skewness2.861997187
Sum1760541.91
Variance426.8132359
MonotonicityNot monotonic
2021-11-29T11:33:16.021688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80544
 
2.7%
84535
 
2.7%
82529
 
2.6%
76521
 
2.6%
78511
 
2.6%
86486
 
2.4%
81468
 
2.3%
79467
 
2.3%
88460
 
2.3%
90454
 
2.3%
Other values (322)14998
75.0%
ValueCountFrequency (%)
321
 
< 0.1%
362
 
< 0.1%
411
 
< 0.1%
41.51
 
< 0.1%
421
 
< 0.1%
453
< 0.1%
45.51
 
< 0.1%
467
< 0.1%
471
 
< 0.1%
47.51
 
< 0.1%
ValueCountFrequency (%)
3002
< 0.1%
2981
 
< 0.1%
2963
< 0.1%
2932
< 0.1%
2922
< 0.1%
2911
 
< 0.1%
2902
< 0.1%
2871
 
< 0.1%
2851
 
< 0.1%
2841
 
< 0.1%

DBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct14217
Distinct (%)71.2%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean66.6384943
Minimum24
Maximum116.1891892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:16.123219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile50.94563492
Q159.1
median65.55
Q373.28571429
95-th percentile86.22745098
Maximum116.1891892
Range92.18918919
Interquartile range (IQR)14.18571429

Descriptive statistics

Standard deviation10.80896208
Coefficient of variation (CV)0.1622029758
Kurtosis0.5003833477
Mean66.6384943
Median Absolute Deviation (MAD)6.992307692
Skewness0.5108030707
Sum1330970.647
Variance116.8336612
MonotonicityNot monotonic
2021-11-29T11:33:16.227600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.534
 
0.2%
6129
 
0.1%
6927
 
0.1%
6626
 
0.1%
6525
 
0.1%
7025
 
0.1%
6725
 
0.1%
6024
 
0.1%
6424
 
0.1%
6224
 
0.1%
Other values (14207)19710
98.6%
(Missing)27
 
0.1%
ValueCountFrequency (%)
241
< 0.1%
28.583333331
< 0.1%
29.5751
< 0.1%
30.414285711
< 0.1%
31.022222221
< 0.1%
32.022727271
< 0.1%
32.526315791
< 0.1%
32.93751
< 0.1%
33.088235291
< 0.1%
33.480769231
< 0.1%
ValueCountFrequency (%)
116.18918921
< 0.1%
116.01351351
< 0.1%
115.13636361
< 0.1%
114.8751
< 0.1%
113.28571431
< 0.1%
112.26923081
< 0.1%
110.8751
< 0.1%
110.8251
< 0.1%
110.03846151
< 0.1%
109.45348841
< 0.1%

DBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct325
Distinct (%)1.6%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.98379412
Minimum24
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:16.329579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile50
Q158
median65
Q373
95-th percentile86
Maximum117
Range93
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.11804128
Coefficient of variation (CV)0.1684965442
Kurtosis0.4183439062
Mean65.98379412
Median Absolute Deviation (MAD)7
Skewness0.5133707969
Sum1317894.32
Variance123.610842
MonotonicityNot monotonic
2021-11-29T11:33:16.433622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58664
 
3.3%
60628
 
3.1%
64609
 
3.0%
62585
 
2.9%
56576
 
2.9%
63554
 
2.8%
65540
 
2.7%
59538
 
2.7%
66528
 
2.6%
61504
 
2.5%
Other values (315)14247
71.2%
ValueCountFrequency (%)
241
 
< 0.1%
27.51
 
< 0.1%
281
 
< 0.1%
28.51
 
< 0.1%
293
< 0.1%
323
< 0.1%
332
< 0.1%
33.52
< 0.1%
344
< 0.1%
353
< 0.1%
ValueCountFrequency (%)
1171
 
< 0.1%
1161
 
< 0.1%
114.751
 
< 0.1%
1131
 
< 0.1%
1123
< 0.1%
1111
 
< 0.1%
110.51
 
< 0.1%
1101
 
< 0.1%
109.751
 
< 0.1%
109.251
 
< 0.1%

Resp-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct59
Distinct (%)0.3%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean13.07446009
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:16.538125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q111
median13
Q315.5
95-th percentile18
Maximum35
Range34
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.497854282
Coefficient of variation (CV)0.2675333634
Kurtosis2.295771055
Mean13.07446009
Median Absolute Deviation (MAD)2
Skewness-0.4229964857
Sum260927
Variance12.23498458
MonotonicityNot monotonic
2021-11-29T11:33:16.637520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123400
17.0%
142642
13.2%
162519
12.6%
102141
10.7%
151641
8.2%
111408
7.0%
131387
6.9%
181036
 
5.2%
17614
 
3.1%
9487
 
2.4%
Other values (49)2682
13.4%
ValueCountFrequency (%)
1227
1.1%
1.518
 
0.1%
2140
0.7%
2.518
 
0.1%
359
 
0.3%
3.510
 
0.1%
444
 
0.2%
4.55
 
< 0.1%
553
 
0.3%
5.57
 
< 0.1%
ValueCountFrequency (%)
352
 
< 0.1%
342
 
< 0.1%
323
< 0.1%
312
 
< 0.1%
303
< 0.1%
293
< 0.1%
286
< 0.1%
27.51
 
< 0.1%
272
 
< 0.1%
26.51
 
< 0.1%

Resp-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct137
Distinct (%)0.7%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean25.45011775
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:16.743900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q122
median24
Q328
95-th percentile36
Maximum100
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.703606788
Coefficient of variation (CV)0.2634017985
Kurtosis28.77288584
Mean25.45011775
Median Absolute Deviation (MAD)3
Skewness3.409856074
Sum507908
Variance44.93834397
MonotonicityNot monotonic
2021-11-29T11:33:16.845206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
242129
 
10.6%
221979
 
9.9%
201625
 
8.1%
261433
 
7.2%
251393
 
7.0%
281379
 
6.9%
181214
 
6.1%
231063
 
5.3%
30964
 
4.8%
21825
 
4.1%
Other values (127)5953
29.8%
ValueCountFrequency (%)
14
< 0.1%
1.51
 
< 0.1%
29
< 0.1%
36
< 0.1%
45
< 0.1%
4.51
 
< 0.1%
58
< 0.1%
65
< 0.1%
6.51
 
< 0.1%
73
 
< 0.1%
ValueCountFrequency (%)
1005
< 0.1%
997
< 0.1%
986
< 0.1%
975
< 0.1%
96.51
 
< 0.1%
964
< 0.1%
952
 
< 0.1%
943
< 0.1%
932
 
< 0.1%
921
 
< 0.1%

Resp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct9074
Distinct (%)45.5%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.48372382
Minimum1
Maximum56.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:16.945188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.27119691
Q116.66666667
median18.1875
Q320.03947368
95-th percentile23.625
Maximum56.25
Range55.25
Interquartile range (IQR)3.372807018

Descriptive statistics

Standard deviation3.134884136
Coefficient of variation (CV)0.1696024117
Kurtosis6.795482191
Mean18.48372382
Median Absolute Deviation (MAD)1.677083333
Skewness0.6931995319
Sum368879.6762
Variance9.827498548
MonotonicityNot monotonic
2021-11-29T11:33:17.132220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18298
 
1.5%
17142
 
0.7%
16140
 
0.7%
17.5119
 
0.6%
1992
 
0.5%
18.584
 
0.4%
16.578
 
0.4%
17.3333333376
 
0.4%
2059
 
0.3%
19.553
 
0.3%
Other values (9064)18816
94.1%
ValueCountFrequency (%)
14
< 0.1%
1.3333333332
< 0.1%
1.52
< 0.1%
1.5833333331
 
< 0.1%
1.6363636361
 
< 0.1%
1.6428571431
 
< 0.1%
1.7647058821
 
< 0.1%
1.8333333331
 
< 0.1%
1.8421052631
 
< 0.1%
1.91
 
< 0.1%
ValueCountFrequency (%)
56.251
< 0.1%
561
< 0.1%
50.041666671
< 0.1%
44.285714291
< 0.1%
40.214285711
< 0.1%
39.51
< 0.1%
38.916666671
< 0.1%
37.51251
< 0.1%
37.378787881
< 0.1%
37.251
< 0.1%

Resp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct121
Distinct (%)0.6%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.3046049
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:17.231993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q116
median18
Q320
95-th percentile24
Maximum56
Range55
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.25810626
Coefficient of variation (CV)0.1779938042
Kurtosis6.330757325
Mean18.3046049
Median Absolute Deviation (MAD)2
Skewness0.5389213854
Sum365305
Variance10.6152564
MonotonicityNot monotonic
2021-11-29T11:33:17.323592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183990
20.0%
202754
13.8%
162564
12.8%
171321
 
6.6%
191138
 
5.7%
15995
 
5.0%
22932
 
4.7%
14673
 
3.4%
21661
 
3.3%
24352
 
1.8%
Other values (111)4577
22.9%
ValueCountFrequency (%)
18
 
< 0.1%
1.53
 
< 0.1%
224
0.1%
2.53
 
< 0.1%
312
0.1%
3.253
 
< 0.1%
3.54
 
< 0.1%
3.751
 
< 0.1%
411
0.1%
4.53
 
< 0.1%
ValueCountFrequency (%)
562
< 0.1%
51.51
< 0.1%
402
< 0.1%
391
< 0.1%
382
< 0.1%
371
< 0.1%
36.251
< 0.1%
362
< 0.1%
35.52
< 0.1%
35.251
< 0.1%

EtCO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct91
Distinct (%)2.8%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean28.01912313
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:17.423248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q122
median28
Q333
95-th percentile39.5
Maximum100
Range90
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.00698314
Coefficient of variation (CV)0.3928382442
Kurtosis16.56850982
Mean28.01912313
Median Absolute Deviation (MAD)5.5
Skewness2.812296261
Sum90109.5
Variance121.1536777
MonotonicityNot monotonic
2021-11-29T11:33:17.519875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30155
 
0.8%
28145
 
0.7%
32130
 
0.7%
24128
 
0.6%
29128
 
0.6%
26123
 
0.6%
31121
 
0.6%
27113
 
0.6%
34111
 
0.6%
25109
 
0.5%
Other values (81)1953
 
9.8%
(Missing)16784
83.9%
ValueCountFrequency (%)
1075
0.4%
10.513
 
0.1%
1131
0.2%
11.58
 
< 0.1%
1242
0.2%
12.59
 
< 0.1%
1340
0.2%
13.510
 
0.1%
1431
0.2%
14.511
 
0.1%
ValueCountFrequency (%)
1007
< 0.1%
994
< 0.1%
986
< 0.1%
979
< 0.1%
963
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%
924
< 0.1%
861
 
< 0.1%

EtCO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct124
Distinct (%)3.9%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean38.2994403
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:17.621302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile22
Q133
median38
Q343
95-th percentile52
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.25899176
Coefficient of variation (CV)0.2939727493
Kurtosis9.750683958
Mean38.2994403
Median Absolute Deviation (MAD)5
Skewness1.980621967
Sum123171
Variance126.7648955
MonotonicityNot monotonic
2021-11-29T11:33:17.718515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38149
 
0.7%
41147
 
0.7%
37140
 
0.7%
36139
 
0.7%
42137
 
0.7%
40135
 
0.7%
39135
 
0.7%
35130
 
0.7%
44111
 
0.6%
34106
 
0.5%
Other values (114)1887
 
9.4%
(Missing)16784
83.9%
ValueCountFrequency (%)
104
< 0.1%
10.55
< 0.1%
117
< 0.1%
126
< 0.1%
12.51
 
< 0.1%
134
< 0.1%
13.53
< 0.1%
145
< 0.1%
14.53
< 0.1%
154
< 0.1%
ValueCountFrequency (%)
10010
0.1%
994
 
< 0.1%
9810
0.1%
979
< 0.1%
963
 
< 0.1%
952
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%
924
 
< 0.1%
861
 
< 0.1%

EtCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1928
Distinct (%)60.0%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean33.09096109
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:17.819927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile17.8875
Q128.34903846
median33.05
Q337.25
95-th percentile43.25347222
Maximum100
Range90
Interquartile range (IQR)8.900961538

Descriptive statistics

Standard deviation10.19338005
Coefficient of variation (CV)0.3080412207
Kurtosis16.96107567
Mean33.09096109
Median Absolute Deviation (MAD)4.45
Skewness2.739708572
Sum106420.5309
Variance103.9049968
MonotonicityNot monotonic
2021-11-29T11:33:17.916251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3528
 
0.1%
3426
 
0.1%
4023
 
0.1%
3322
 
0.1%
3621
 
0.1%
3920
 
0.1%
3219
 
0.1%
2819
 
0.1%
3719
 
0.1%
34.518
 
0.1%
Other values (1918)3001
 
15.0%
(Missing)16784
83.9%
ValueCountFrequency (%)
104
< 0.1%
10.1251
 
< 0.1%
10.55
< 0.1%
10.833333331
 
< 0.1%
116
< 0.1%
11.151
 
< 0.1%
11.251
 
< 0.1%
11.51
 
< 0.1%
11.751
 
< 0.1%
11.846153851
 
< 0.1%
ValueCountFrequency (%)
1007
< 0.1%
994
< 0.1%
98.51
 
< 0.1%
986
< 0.1%
97.51
 
< 0.1%
97.251
 
< 0.1%
977
< 0.1%
962
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%

EtCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct173
Distinct (%)5.4%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean33.04485386
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:18.018364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile17.5
Q128
median33
Q337
95-th percentile43.5
Maximum100
Range90
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.32476853
Coefficient of variation (CV)0.3124470931
Kurtosis16.13061293
Mean33.04485386
Median Absolute Deviation (MAD)4.5
Skewness2.621801772
Sum106272.25
Variance106.6008452
MonotonicityNot monotonic
2021-11-29T11:33:18.116090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35137
 
0.7%
34136
 
0.7%
33136
 
0.7%
32131
 
0.7%
30124
 
0.6%
36112
 
0.6%
29109
 
0.5%
3998
 
0.5%
2896
 
0.5%
3795
 
0.5%
Other values (163)2042
 
10.2%
(Missing)16784
83.9%
ValueCountFrequency (%)
108
< 0.1%
10.56
 
< 0.1%
1110
0.1%
11.254
 
< 0.1%
11.56
 
< 0.1%
1215
0.1%
12.55
 
< 0.1%
1310
0.1%
13.252
 
< 0.1%
13.56
 
< 0.1%
ValueCountFrequency (%)
1007
< 0.1%
994
< 0.1%
98.51
 
< 0.1%
986
< 0.1%
97.52
 
< 0.1%
977
< 0.1%
962
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%

BaseExcess-min
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct206
Distinct (%)36.9%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-3.851164875
Minimum-23.2
Maximum9.1
Zeros1
Zeros (%)< 0.1%
Negative467
Negative (%)2.3%
Memory size156.4 KiB
2021-11-29T11:33:18.216903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-23.2
5-th percentile-11.1
Q1-5.975
median-3.7
Q3-1.3
95-th percentile3.015
Maximum9.1
Range32.3
Interquartile range (IQR)4.675

Descriptive statistics

Standard deviation4.310255972
Coefficient of variation (CV)-1.119208373
Kurtosis1.622403723
Mean-3.851164875
Median Absolute Deviation (MAD)2.4
Skewness-0.4472885894
Sum-2148.95
Variance18.57830654
MonotonicityNot monotonic
2021-11-29T11:33:18.311019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.411
 
0.1%
-3.910
 
0.1%
-4.59
 
< 0.1%
-38
 
< 0.1%
-1.78
 
< 0.1%
-2.68
 
< 0.1%
-2.58
 
< 0.1%
-3.78
 
< 0.1%
-2.48
 
< 0.1%
-2.88
 
< 0.1%
Other values (196)472
 
2.4%
(Missing)19442
97.2%
ValueCountFrequency (%)
-23.21
< 0.1%
-21.21
< 0.1%
-18.251
< 0.1%
-17.41
< 0.1%
-16.61
< 0.1%
-161
< 0.1%
-15.81
< 0.1%
-15.11
< 0.1%
-151
< 0.1%
-14.81
< 0.1%
ValueCountFrequency (%)
9.11
< 0.1%
91
< 0.1%
7.951
< 0.1%
7.62
< 0.1%
6.81
< 0.1%
6.31
< 0.1%
5.71
< 0.1%
5.51
< 0.1%
5.41
< 0.1%
5.11
< 0.1%

BaseExcess-max
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct189
Distinct (%)33.9%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-1.143996416
Minimum-21.8
Maximum14.2
Zeros4
Zeros (%)< 0.1%
Negative333
Negative (%)1.7%
Memory size156.4 KiB
2021-11-29T11:33:18.411074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-21.8
5-th percentile-8.0225
Q1-3.4
median-0.9
Q31.4
95-th percentile5.4
Maximum14.2
Range36
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation4.214126748
Coefficient of variation (CV)-3.683688769
Kurtosis2.166493674
Mean-1.143996416
Median Absolute Deviation (MAD)2.4
Skewness-0.4150854249
Sum-638.35
Variance17.75886425
MonotonicityNot monotonic
2021-11-29T11:33:18.508315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.513
 
0.1%
-1.110
 
0.1%
-3.49
 
< 0.1%
-0.59
 
< 0.1%
-4.48
 
< 0.1%
1.58
 
< 0.1%
1.48
 
< 0.1%
-1.38
 
< 0.1%
-0.98
 
< 0.1%
-0.67
 
< 0.1%
Other values (179)470
 
2.4%
(Missing)19442
97.2%
ValueCountFrequency (%)
-21.81
< 0.1%
-18.251
< 0.1%
-15.651
< 0.1%
-15.11
< 0.1%
-14.351
< 0.1%
-13.851
< 0.1%
-12.61
< 0.1%
-11.81
< 0.1%
-11.41
< 0.1%
-11.32
< 0.1%
ValueCountFrequency (%)
14.21
 
< 0.1%
13.31
 
< 0.1%
11.11
 
< 0.1%
10.21
 
< 0.1%
9.11
 
< 0.1%
91
 
< 0.1%
8.51
 
< 0.1%
8.41
 
< 0.1%
7.91
 
< 0.1%
7.63
< 0.1%

BaseExcess-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct392
Distinct (%)70.3%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-2.529682715
Minimum-22.36666667
Maximum9.1
Zeros2
Zeros (%)< 0.1%
Negative434
Negative (%)2.2%
Memory size156.4 KiB
2021-11-29T11:33:18.610135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-22.36666667
5-th percentile-9.23
Q1-4.6
median-2.4
Q3-0.38125
95-th percentile3.6778125
Maximum9.1
Range31.46666667
Interquartile range (IQR)4.21875

Descriptive statistics

Standard deviation3.85935829
Coefficient of variation (CV)-1.525629387
Kurtosis2.348435347
Mean-2.529682715
Median Absolute Deviation (MAD)2.1
Skewness-0.4961503107
Sum-1411.562955
Variance14.89464641
MonotonicityNot monotonic
2021-11-29T11:33:18.798349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.78
 
< 0.1%
-1.37
 
< 0.1%
-3.97
 
< 0.1%
1.26
 
< 0.1%
-4.66
 
< 0.1%
-0.95
 
< 0.1%
-3.35
 
< 0.1%
-3.75
 
< 0.1%
-4.45
 
< 0.1%
-3.45
 
< 0.1%
Other values (382)499
 
2.5%
(Missing)19442
97.2%
ValueCountFrequency (%)
-22.366666671
< 0.1%
-18.251
< 0.1%
-16.183333331
< 0.1%
-15.11
< 0.1%
-15.0751
< 0.1%
-14.0251
< 0.1%
-14.021
< 0.1%
-13.051
< 0.1%
-121
< 0.1%
-11.81
< 0.1%
ValueCountFrequency (%)
9.11
< 0.1%
91
< 0.1%
8.1751
< 0.1%
7.6428571431
< 0.1%
7.62
< 0.1%
7.11
< 0.1%
6.31
< 0.1%
6.11
< 0.1%
5.92
< 0.1%
5.851
< 0.1%

BaseExcess-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct272
Distinct (%)48.7%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-2.538620072
Minimum-22.1
Maximum9.1
Zeros6
Zeros (%)< 0.1%
Negative429
Negative (%)2.1%
Memory size156.4 KiB
2021-11-29T11:33:18.899324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-22.1
5-th percentile-9.26875
Q1-4.6
median-2.4
Q3-0.375
95-th percentile3.88
Maximum9.1
Range31.2
Interquartile range (IQR)4.225

Descriptive statistics

Standard deviation3.886708635
Coefficient of variation (CV)-1.531032028
Kurtosis2.211538927
Mean-2.538620072
Median Absolute Deviation (MAD)2.1
Skewness-0.4712354538
Sum-1416.55
Variance15.10650402
MonotonicityNot monotonic
2021-11-29T11:33:18.998012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.711
 
0.1%
-2.89
 
< 0.1%
-3.98
 
< 0.1%
-1.38
 
< 0.1%
-37
 
< 0.1%
-3.27
 
< 0.1%
-3.47
 
< 0.1%
06
 
< 0.1%
-3.76
 
< 0.1%
-0.96
 
< 0.1%
Other values (262)483
 
2.4%
(Missing)19442
97.2%
ValueCountFrequency (%)
-22.11
< 0.1%
-18.251
< 0.1%
-16.31
< 0.1%
-15.11
< 0.1%
-15.0751
< 0.1%
-14.051
< 0.1%
-14.0251
< 0.1%
-13.051
< 0.1%
-12.21
< 0.1%
-11.81
< 0.1%
ValueCountFrequency (%)
9.11
< 0.1%
91
< 0.1%
8.51
< 0.1%
8.1751
< 0.1%
7.62
< 0.1%
7.11
< 0.1%
6.31
< 0.1%
6.11
< 0.1%
5.91
< 0.1%
5.851
< 0.1%

HCO3-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct166
Distinct (%)39.9%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean22.18509615
Minimum7.7
Maximum32.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:19.096997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile16.9
Q120.4
median22.2
Q324.2125
95-th percentile27.9
Maximum32.4
Range24.7
Interquartile range (IQR)3.8125

Descriptive statistics

Standard deviation3.499780577
Coefficient of variation (CV)0.1577536808
Kurtosis1.392533606
Mean22.18509615
Median Absolute Deviation (MAD)2
Skewness-0.2309924944
Sum9229
Variance12.24846409
MonotonicityNot monotonic
2021-11-29T11:33:19.195913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.410
 
0.1%
229
 
< 0.1%
22.69
 
< 0.1%
24.89
 
< 0.1%
21.59
 
< 0.1%
23.58
 
< 0.1%
23.28
 
< 0.1%
21.38
 
< 0.1%
22.37
 
< 0.1%
20.77
 
< 0.1%
Other values (156)332
 
1.7%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
8.41
< 0.1%
12.451
< 0.1%
12.61
< 0.1%
13.11
< 0.1%
13.31
< 0.1%
13.61
< 0.1%
13.92
< 0.1%
14.12
< 0.1%
14.21
< 0.1%
ValueCountFrequency (%)
32.41
< 0.1%
322
< 0.1%
31.91
< 0.1%
30.91
< 0.1%
30.61
< 0.1%
30.11
< 0.1%
29.52
< 0.1%
29.42
< 0.1%
29.21
< 0.1%
29.12
< 0.1%

HCO3-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct145
Distinct (%)34.9%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean24.56983173
Minimum7.7
Maximum36.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:19.294436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile18.9
Q122.6
median24.85
Q326.4125
95-th percentile29.75
Maximum36.4
Range28.7
Interquartile range (IQR)3.8125

Descriptive statistics

Standard deviation3.360838926
Coefficient of variation (CV)0.1367872179
Kurtosis2.24279663
Mean24.56983173
Median Absolute Deviation (MAD)1.875
Skewness-0.3018458229
Sum10221.05
Variance11.29523828
MonotonicityNot monotonic
2021-11-29T11:33:19.389989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.313
 
0.1%
23.511
 
0.1%
24.510
 
0.1%
23.29
 
< 0.1%
25.99
 
< 0.1%
26.19
 
< 0.1%
269
 
< 0.1%
257
 
< 0.1%
24.67
 
< 0.1%
26.57
 
< 0.1%
Other values (135)325
 
1.6%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
13.11
< 0.1%
13.71
< 0.1%
151
< 0.1%
16.51
< 0.1%
16.81
< 0.1%
172
< 0.1%
17.31
< 0.1%
17.41
< 0.1%
17.51
< 0.1%
ValueCountFrequency (%)
36.41
< 0.1%
361
< 0.1%
35.31
< 0.1%
33.71
< 0.1%
32.91
< 0.1%
32.41
< 0.1%
322
< 0.1%
31.61
< 0.1%
31.11
< 0.1%
30.91
< 0.1%

HCO3-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct310
Distinct (%)74.5%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean23.34547262
Minimum7.7
Maximum33.05714286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:19.490575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile18.39375
Q121.7
median23.403125
Q325.0125
95-th percentile28.8
Maximum33.05714286
Range25.35714286
Interquartile range (IQR)3.3125

Descriptive statistics

Standard deviation3.07572166
Coefficient of variation (CV)0.1317480999
Kurtosis2.223522011
Mean23.34547262
Median Absolute Deviation (MAD)1.671875
Skewness-0.2459323095
Sum9711.71661
Variance9.460063729
MonotonicityNot monotonic
2021-11-29T11:33:19.591211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.56
 
< 0.1%
21.56
 
< 0.1%
23.95
 
< 0.1%
23.25
 
< 0.1%
28.84
 
< 0.1%
22.64
 
< 0.1%
21.34
 
< 0.1%
224
 
< 0.1%
21.74
 
< 0.1%
22.24
 
< 0.1%
Other values (300)370
 
1.8%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
13.11
< 0.1%
13.151
< 0.1%
14.61
< 0.1%
15.466666671
< 0.1%
16.21
< 0.1%
16.366666671
< 0.1%
16.431
< 0.1%
16.81
< 0.1%
171
< 0.1%
ValueCountFrequency (%)
33.057142861
< 0.1%
32.81
< 0.1%
32.41
< 0.1%
322
< 0.1%
30.91
< 0.1%
30.61
< 0.1%
30.11
< 0.1%
29.71
< 0.1%
29.52
< 0.1%
29.451
< 0.1%

HCO3-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct217
Distinct (%)52.2%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean23.33960337
Minimum7.7
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:19.689446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile18.5
Q121.6
median23.475
Q325.1
95-th percentile28.525
Maximum34
Range26.3
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.099274851
Coefficient of variation (CV)0.1327903822
Kurtosis2.193542379
Mean23.33960337
Median Absolute Deviation (MAD)1.725
Skewness-0.2167493007
Sum9709.275
Variance9.605504601
MonotonicityNot monotonic
2021-11-29T11:33:19.788668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.59
 
< 0.1%
22.67
 
< 0.1%
21.56
 
< 0.1%
23.86
 
< 0.1%
23.76
 
< 0.1%
25.36
 
< 0.1%
25.15
 
< 0.1%
24.25
 
< 0.1%
23.25
 
< 0.1%
23.95
 
< 0.1%
Other values (207)356
 
1.8%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
13.11
< 0.1%
13.151
< 0.1%
14.61
< 0.1%
15.31
< 0.1%
16.051
< 0.1%
16.31
< 0.1%
16.41
< 0.1%
16.81
< 0.1%
172
< 0.1%
ValueCountFrequency (%)
341
< 0.1%
32.81
< 0.1%
32.41
< 0.1%
322
< 0.1%
30.91
< 0.1%
30.61
< 0.1%
30.11
< 0.1%
29.71
< 0.1%
29.52
< 0.1%
29.451
< 0.1%

FiO2-min
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct67
Distinct (%)1.2%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.4056853315
Minimum-50
Maximum2
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size156.4 KiB
2021-11-29T11:33:19.884576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-50
5-th percentile0.21
Q10.3
median0.4
Q30.45
95-th percentile1
Maximum2
Range52
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.9536206482
Coefficient of variation (CV)2.350641185
Kurtosis2681.712423
Mean0.4056853315
Median Absolute Deviation (MAD)0.1
Skewness-50.73903075
Sum2361.9
Variance0.9093923408
MonotonicityNot monotonic
2021-11-29T11:33:19.985298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.42241
 
11.2%
0.21719
 
3.6%
0.5693
 
3.5%
0.3378
 
1.9%
1328
 
1.6%
0.28294
 
1.5%
0.35202
 
1.0%
0.32156
 
0.8%
0.6145
 
0.7%
0.36119
 
0.6%
Other values (57)547
 
2.7%
(Missing)14178
70.9%
ValueCountFrequency (%)
-502
 
< 0.1%
0.011
 
< 0.1%
0.023
 
< 0.1%
0.031
 
< 0.1%
0.049
< 0.1%
0.059
< 0.1%
0.0613
0.1%
0.081
 
< 0.1%
0.11
 
< 0.1%
0.131
 
< 0.1%
ValueCountFrequency (%)
24
 
< 0.1%
1.21
 
< 0.1%
1328
1.6%
0.981
 
< 0.1%
0.953
 
< 0.1%
0.921
 
< 0.1%
0.910
 
0.1%
0.854
 
< 0.1%
0.841
 
< 0.1%
0.821
 
< 0.1%

FiO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct68
Distinct (%)1.2%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean1.261176572
Minimum0.04
Maximum4000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:20.086540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.21
Q10.4
median0.5
Q30.8
95-th percentile1
Maximum4000
Range3999.96
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation52.41651778
Coefficient of variation (CV)41.56160125
Kurtosis5821.644562
Mean1.261176572
Median Absolute Deviation (MAD)0.2
Skewness76.2985385
Sum7342.57
Variance2747.491336
MonotonicityNot monotonic
2021-11-29T11:33:20.188387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11330
 
6.7%
0.41168
 
5.8%
0.5915
 
4.6%
0.21585
 
2.9%
0.7329
 
1.6%
0.6286
 
1.4%
0.28230
 
1.1%
0.3162
 
0.8%
0.8150
 
0.8%
0.35116
 
0.6%
Other values (58)551
 
2.8%
(Missing)14178
70.9%
ValueCountFrequency (%)
0.042
 
< 0.1%
0.054
 
< 0.1%
0.064
 
< 0.1%
0.21585
2.9%
0.2413
 
0.1%
0.258
 
< 0.1%
0.262
 
< 0.1%
0.271
 
< 0.1%
0.28230
 
1.1%
0.291
 
< 0.1%
ValueCountFrequency (%)
40001
 
< 0.1%
5.051
 
< 0.1%
214
 
0.1%
1.71
 
< 0.1%
1.41
 
< 0.1%
1.31
 
< 0.1%
1.23
 
< 0.1%
11330
6.7%
0.981
 
< 0.1%
0.971
 
< 0.1%

FiO2-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct620
Distinct (%)10.6%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.6540048137
Minimum-16
Maximum1000.3
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size156.4 KiB
2021-11-29T11:33:20.296859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-16
5-th percentile0.21
Q10.36
median0.44
Q30.5891865079
95-th percentile1
Maximum1000.3
Range1016.3
Interquartile range (IQR)0.2291865079

Descriptive statistics

Standard deviation13.10707758
Coefficient of variation (CV)20.04125551
Kurtosis5815.504986
Mean0.6540048137
Median Absolute Deviation (MAD)0.105
Skewness76.23783285
Sum3807.616025
Variance171.7954826
MonotonicityNot monotonic
2021-11-29T11:33:20.492514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4948
 
4.7%
0.21560
 
2.8%
0.5536
 
2.7%
1326
 
1.6%
0.7211
 
1.1%
0.45205
 
1.0%
0.6203
 
1.0%
0.28193
 
1.0%
0.3151
 
0.8%
0.35108
 
0.5%
Other values (610)2381
 
11.9%
(Missing)14178
70.9%
ValueCountFrequency (%)
-161
 
< 0.1%
-5.63751
 
< 0.1%
0.042
 
< 0.1%
0.054
 
< 0.1%
0.064
 
< 0.1%
0.1151
 
< 0.1%
0.161
 
< 0.1%
0.21560
2.8%
0.2125
 
0.1%
0.21304347831
 
< 0.1%
ValueCountFrequency (%)
1000.31
 
< 0.1%
24
 
< 0.1%
1.61
 
< 0.1%
1.52
 
< 0.1%
1.2666666671
 
< 0.1%
1.2142857141
 
< 0.1%
1.21
 
< 0.1%
1.1666666672
 
< 0.1%
1326
1.6%
0.991
 
< 0.1%

FiO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct123
Distinct (%)2.1%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.4753126074
Minimum0.04
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:20.597597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.21
Q10.36
median0.4
Q30.5
95-th percentile1
Maximum2
Range1.96
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.2105588808
Coefficient of variation (CV)0.4429903131
Kurtosis2.727652453
Mean0.4753126074
Median Absolute Deviation (MAD)0.1
Skewness1.362236754
Sum2767.27
Variance0.04433504227
MonotonicityNot monotonic
2021-11-29T11:33:20.703207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.41596
 
8.0%
0.5824
 
4.1%
0.21608
 
3.0%
1402
 
2.0%
0.7284
 
1.4%
0.45261
 
1.3%
0.6240
 
1.2%
0.28223
 
1.1%
0.3220
 
1.1%
0.35141
 
0.7%
Other values (113)1023
 
5.1%
(Missing)14178
70.9%
ValueCountFrequency (%)
0.042
 
< 0.1%
0.055
 
< 0.1%
0.065
 
< 0.1%
0.1151
 
< 0.1%
0.21608
3.0%
0.211
 
< 0.1%
0.2414
 
0.1%
0.24517
 
0.1%
0.2511
 
0.1%
0.266
 
< 0.1%
ValueCountFrequency (%)
24
 
< 0.1%
1.61
 
< 0.1%
1.52
 
< 0.1%
1.21
 
< 0.1%
1402
2.0%
0.981
 
< 0.1%
0.961
 
< 0.1%
0.957
 
< 0.1%
0.932
 
< 0.1%
0.922
 
< 0.1%

pH-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct81
Distinct (%)1.4%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.346866528
Minimum6.71
Maximum7.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:20.816520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.71
5-th percentile7.2
Q17.3
median7.36
Q37.4
95-th percentile7.48
Maximum7.61
Range0.9
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.0906618608
Coefficient of variation (CV)0.01234020796
Kurtosis4.147079166
Mean7.346866528
Median Absolute Deviation (MAD)0.05
Skewness-1.128063207
Sum42273.87
Variance0.008219573004
MonotonicityNot monotonic
2021-11-29T11:33:20.913223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.38350
 
1.8%
7.36343
 
1.7%
7.34321
 
1.6%
7.32304
 
1.5%
7.35277
 
1.4%
7.37277
 
1.4%
7.4276
 
1.4%
7.39256
 
1.3%
7.42242
 
1.2%
7.33238
 
1.2%
Other values (71)2870
 
14.3%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.711
< 0.1%
6.721
< 0.1%
6.731
< 0.1%
6.781
< 0.1%
6.812
< 0.1%
6.821
< 0.1%
6.842
< 0.1%
6.851
< 0.1%
6.872
< 0.1%
6.882
< 0.1%
ValueCountFrequency (%)
7.612
 
< 0.1%
7.64
 
< 0.1%
7.593
 
< 0.1%
7.583
 
< 0.1%
7.574
 
< 0.1%
7.569
 
< 0.1%
7.556
 
< 0.1%
7.5420
0.1%
7.5312
0.1%
7.5225
0.1%

pH-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct63
Distinct (%)1.1%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.407309698
Minimum6.81
Maximum7.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:21.015231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.81
5-th percentile7.3
Q17.36
median7.41
Q37.45
95-th percentile7.52
Maximum7.71
Range0.9
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.07246876263
Coefficient of variation (CV)0.009783412006
Kurtosis2.21484331
Mean7.407309698
Median Absolute Deviation (MAD)0.05
Skewness-0.2612562861
Sum42621.66
Variance0.005251721557
MonotonicityNot monotonic
2021-11-29T11:33:21.114527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.42371
 
1.9%
7.38368
 
1.8%
7.4364
 
1.8%
7.39316
 
1.6%
7.36309
 
1.5%
7.44300
 
1.5%
7.41293
 
1.5%
7.46275
 
1.4%
7.37269
 
1.3%
7.45266
 
1.3%
Other values (53)2623
 
13.1%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.811
 
< 0.1%
6.851
 
< 0.1%
7.051
 
< 0.1%
7.061
 
< 0.1%
7.071
 
< 0.1%
7.091
 
< 0.1%
7.11
 
< 0.1%
7.111
 
< 0.1%
7.124
< 0.1%
7.142
< 0.1%
ValueCountFrequency (%)
7.711
 
< 0.1%
7.691
 
< 0.1%
7.681
 
< 0.1%
7.642
 
< 0.1%
7.634
 
< 0.1%
7.626
 
< 0.1%
7.6112
0.1%
7.612
0.1%
7.5920
0.1%
7.5822
0.1%

pH-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct761
Distinct (%)13.2%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.378449701
Minimum6.78
Maximum7.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:21.218564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.78
5-th percentile7.27
Q17.34
median7.38
Q37.42
95-th percentile7.485
Maximum7.615
Range0.835
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06838952578
Coefficient of variation (CV)0.009268820491
Kurtosis3.555423499
Mean7.378449701
Median Absolute Deviation (MAD)0.04
Skewness-0.6345560451
Sum42455.59958
Variance0.004677127236
MonotonicityNot monotonic
2021-11-29T11:33:21.317709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.38261
 
1.3%
7.4205
 
1.0%
7.37199
 
1.0%
7.41196
 
1.0%
7.42194
 
1.0%
7.36191
 
1.0%
7.34184
 
0.9%
7.35180
 
0.9%
7.39163
 
0.8%
7.32156
 
0.8%
Other values (751)3825
 
19.1%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.781
< 0.1%
6.811
< 0.1%
6.9866666671
< 0.1%
7.0033333331
< 0.1%
7.0266666671
< 0.1%
7.0343751
< 0.1%
7.0466666671
< 0.1%
7.058751
< 0.1%
7.061
< 0.1%
7.068751
< 0.1%
ValueCountFrequency (%)
7.6151
 
< 0.1%
7.611
 
< 0.1%
7.64
< 0.1%
7.593
< 0.1%
7.5852
< 0.1%
7.5833333331
 
< 0.1%
7.583
< 0.1%
7.5751
 
< 0.1%
7.5741
 
< 0.1%
7.573
< 0.1%

pH-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct135
Distinct (%)2.3%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.379348279
Minimum6.78
Maximum7.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:21.422442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.78
5-th percentile7.27
Q17.34
median7.38
Q37.42
95-th percentile7.49
Maximum7.615
Range0.835
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06923347547
Coefficient of variation (CV)0.009382058259
Kurtosis3.550569169
Mean7.379348279
Median Absolute Deviation (MAD)0.04
Skewness-0.6617156254
Sum42460.77
Variance0.004793274126
MonotonicityNot monotonic
2021-11-29T11:33:21.522946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.38342
 
1.7%
7.4321
 
1.6%
7.36289
 
1.4%
7.37273
 
1.4%
7.42268
 
1.3%
7.35261
 
1.3%
7.41254
 
1.3%
7.39253
 
1.3%
7.34250
 
1.2%
7.32217
 
1.1%
Other values (125)3026
 
15.1%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.781
< 0.1%
6.811
< 0.1%
6.941
< 0.1%
6.981
< 0.1%
7.011
< 0.1%
7.021
< 0.1%
7.0251
< 0.1%
7.0551
< 0.1%
7.061
< 0.1%
7.0651
< 0.1%
ValueCountFrequency (%)
7.6151
 
< 0.1%
7.611
 
< 0.1%
7.64
< 0.1%
7.5951
 
< 0.1%
7.593
 
< 0.1%
7.5851
 
< 0.1%
7.584
< 0.1%
7.5751
 
< 0.1%
7.576
< 0.1%
7.569
< 0.1%

PaCO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct372
Distinct (%)6.4%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean37.65852224
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:21.626726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile26
Q132
median36.5
Q341.3
95-th percentile54
Maximum100
Range88
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation9.419204372
Coefficient of variation (CV)0.2501214549
Kurtosis5.640452899
Mean37.65852224
Median Absolute Deviation (MAD)4.5
Skewness1.638943563
Sum217628.6
Variance88.721411
MonotonicityNot monotonic
2021-11-29T11:33:21.723405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34273
 
1.4%
36266
 
1.3%
38245
 
1.2%
35238
 
1.2%
32235
 
1.2%
37227
 
1.1%
40205
 
1.0%
33197
 
1.0%
39189
 
0.9%
31181
 
0.9%
Other values (362)3523
 
17.6%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
131
 
< 0.1%
157
< 0.1%
15.31
 
< 0.1%
165
< 0.1%
16.21
 
< 0.1%
16.42
 
< 0.1%
16.71
 
< 0.1%
1711
0.1%
189
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
951
 
< 0.1%
93.41
 
< 0.1%
931
 
< 0.1%
911
 
< 0.1%
892
< 0.1%
88.11
 
< 0.1%
881
 
< 0.1%
873
< 0.1%
861
 
< 0.1%

PaCO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct423
Distinct (%)7.3%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean43.41301263
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:21.825303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile29.5
Q136.8
median41.6
Q347
95-th percentile66.2
Maximum100
Range88
Interquartile range (IQR)10.2

Descriptive statistics

Standard deviation11.53500494
Coefficient of variation (CV)0.2657038579
Kurtosis4.826518059
Mean43.41301263
Median Absolute Deviation (MAD)5.4
Skewness1.741863092
Sum250883.8
Variance133.0563389
MonotonicityNot monotonic
2021-11-29T11:33:21.920635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40256
 
1.3%
42252
 
1.3%
38227
 
1.1%
36212
 
1.1%
44204
 
1.0%
39189
 
0.9%
41186
 
0.9%
43186
 
0.9%
34177
 
0.9%
46176
 
0.9%
Other values (413)3714
 
18.6%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
153
< 0.1%
15.31
 
< 0.1%
162
< 0.1%
16.71
 
< 0.1%
173
< 0.1%
184
< 0.1%
18.81
 
< 0.1%
193
< 0.1%
19.21
 
< 0.1%
ValueCountFrequency (%)
1006
< 0.1%
994
< 0.1%
986
< 0.1%
975
< 0.1%
962
 
< 0.1%
952
 
< 0.1%
944
< 0.1%
93.41
 
< 0.1%
934
< 0.1%
92.51
 
< 0.1%

PaCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1324
Distinct (%)22.9%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean40.36314483
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:22.021242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile28.5
Q135
median39
Q343.56666667
95-th percentile57
Maximum100
Range88
Interquartile range (IQR)8.566666667

Descriptive statistics

Standard deviation9.502627724
Coefficient of variation (CV)0.2354283286
Kurtosis6.261454088
Mean40.36314483
Median Absolute Deviation (MAD)4
Skewness1.836396002
Sum233258.6139
Variance90.29993367
MonotonicityNot monotonic
2021-11-29T11:33:22.211832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38173
 
0.9%
36155
 
0.8%
35150
 
0.8%
37150
 
0.8%
40150
 
0.8%
34146
 
0.7%
41137
 
0.7%
42135
 
0.7%
39124
 
0.6%
44119
 
0.6%
Other values (1314)4340
 
21.7%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
153
< 0.1%
15.31
 
< 0.1%
15.51
 
< 0.1%
162
< 0.1%
16.71
 
< 0.1%
173
< 0.1%
184
< 0.1%
18.81
 
< 0.1%
194
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
95.751
< 0.1%
951
< 0.1%
94.666666671
< 0.1%
93.41
< 0.1%
92.52
< 0.1%
921
< 0.1%
89.666666671
< 0.1%
89.21
< 0.1%
88.11
< 0.1%

PaCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct580
Distinct (%)10.0%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean40.24149074
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:22.313940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile28.3
Q135
median39
Q343.5
95-th percentile57
Maximum100
Range88
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.553163238
Coefficient of variation (CV)0.2373958584
Kurtosis6.580025868
Mean40.24149074
Median Absolute Deviation (MAD)4
Skewness1.881281469
Sum232555.575
Variance91.26292786
MonotonicityNot monotonic
2021-11-29T11:33:22.410818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38252
 
1.3%
36224
 
1.1%
40221
 
1.1%
37209
 
1.0%
35203
 
1.0%
34201
 
1.0%
39189
 
0.9%
42189
 
0.9%
41176
 
0.9%
44147
 
0.7%
Other values (570)3768
 
18.8%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
153
< 0.1%
15.31
 
< 0.1%
15.51
 
< 0.1%
163
< 0.1%
16.71
 
< 0.1%
174
< 0.1%
184
< 0.1%
18.81
 
< 0.1%
195
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
982
< 0.1%
951
< 0.1%
941
< 0.1%
93.41
< 0.1%
92.52
< 0.1%
921
< 0.1%
902
< 0.1%
89.151
< 0.1%
891
< 0.1%

SaO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct298
Distinct (%)5.8%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean95.48681951
Minimum23
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:22.512742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile88
Q194.4
median96.7
Q398.3
95-th percentile99.4
Maximum100
Range77
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation4.919157181
Coefficient of variation (CV)0.05151660937
Kurtosis36.07666916
Mean95.48681951
Median Absolute Deviation (MAD)1.8
Skewness-4.524774396
Sum489369.95
Variance24.19810737
MonotonicityNot monotonic
2021-11-29T11:33:22.614062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.8120
 
0.6%
99113
 
0.6%
98.6102
 
0.5%
98.798
 
0.5%
98.298
 
0.5%
9795
 
0.5%
99.294
 
0.5%
97.692
 
0.5%
98.492
 
0.5%
97.888
 
0.4%
Other values (288)4133
 
20.7%
(Missing)14875
74.4%
ValueCountFrequency (%)
231
< 0.1%
29.11
< 0.1%
36.61
< 0.1%
45.21
< 0.1%
50.31
< 0.1%
52.51
< 0.1%
54.71
< 0.1%
56.61
< 0.1%
58.21
< 0.1%
58.31
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
99.930
0.1%
99.838
0.2%
99.748
0.2%
99.654
0.3%
99.552
 
< 0.1%
99.564
0.3%
99.452
 
< 0.1%
99.471
0.4%
99.358
0.3%

SaO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct187
Distinct (%)3.6%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean97.51632195
Minimum50.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:22.718431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile93.1
Q196.8
median98.3
Q399.2
95-th percentile99.7
Maximum100
Range49.7
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation2.842030854
Coefficient of variation (CV)0.02914415554
Kurtosis54.10734636
Mean97.51632195
Median Absolute Deviation (MAD)1
Skewness-5.276013539
Sum499771.15
Variance8.077139377
MonotonicityNot monotonic
2021-11-29T11:33:22.823383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.4203
 
1.0%
99.2196
 
1.0%
99.5185
 
0.9%
99.6180
 
0.9%
99174
 
0.9%
98.8165
 
0.8%
98.9161
 
0.8%
99.7160
 
0.8%
98.6156
 
0.8%
99.3155
 
0.8%
Other values (177)3390
 
17.0%
(Missing)14875
74.4%
ValueCountFrequency (%)
50.31
< 0.1%
52.51
< 0.1%
58.81
< 0.1%
65.11
< 0.1%
65.61
< 0.1%
681
< 0.1%
68.21
< 0.1%
70.81
< 0.1%
72.61
< 0.1%
73.31
< 0.1%
ValueCountFrequency (%)
1007
 
< 0.1%
99.972
 
0.4%
99.851
 
< 0.1%
99.8132
0.7%
99.753
 
< 0.1%
99.7160
0.8%
99.6180
0.9%
99.552
 
< 0.1%
99.5185
0.9%
99.451
 
< 0.1%

SaO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1153
Distinct (%)22.5%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean96.68643136
Minimum50.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:22.923839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile91.9
Q195.8
median97.4
Q398.6
95-th percentile99.5
Maximum100
Range49.7
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation3.121416242
Coefficient of variation (CV)0.03228391201
Kurtosis38.47620369
Mean96.68643136
Median Absolute Deviation (MAD)1.3
Skewness-4.428625065
Sum495517.9607
Variance9.743239358
MonotonicityNot monotonic
2021-11-29T11:33:23.025748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9988
 
0.4%
98.886
 
0.4%
99.280
 
0.4%
98.680
 
0.4%
98.273
 
0.4%
99.172
 
0.4%
98.772
 
0.4%
99.470
 
0.4%
97.869
 
0.3%
98.468
 
0.3%
Other values (1143)4367
 
21.8%
(Missing)14875
74.4%
ValueCountFrequency (%)
50.31
< 0.1%
52.51
< 0.1%
58.81
< 0.1%
65.11
< 0.1%
65.61
< 0.1%
66.11
< 0.1%
681
< 0.1%
68.21
< 0.1%
68.251
< 0.1%
69.466666671
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
99.930
0.1%
99.851
 
< 0.1%
99.838461541
 
< 0.1%
99.833333333
 
< 0.1%
99.82
 
< 0.1%
99.834
0.2%
99.7751
 
< 0.1%
99.753
 
< 0.1%
99.738888891
 
< 0.1%

SaO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct377
Distinct (%)7.4%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean96.81781463
Minimum50.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:23.126327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile92.1
Q195.95
median97.55
Q398.7
95-th percentile99.5
Maximum100
Range49.7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.080118287
Coefficient of variation (CV)0.03181354897
Kurtosis40.31261174
Mean96.81781463
Median Absolute Deviation (MAD)1.25
Skewness-4.542755846
Sum496191.3
Variance9.487128664
MonotonicityNot monotonic
2021-11-29T11:33:23.228617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.8118
 
0.6%
99.2109
 
0.5%
99106
 
0.5%
98.6105
 
0.5%
99.1105
 
0.5%
98.9104
 
0.5%
98.4102
 
0.5%
98.5101
 
0.5%
98.3100
 
0.5%
98.797
 
0.5%
Other values (367)4078
 
20.4%
(Missing)14875
74.4%
ValueCountFrequency (%)
50.31
< 0.1%
52.51
< 0.1%
58.81
< 0.1%
65.11
< 0.1%
65.61
< 0.1%
66.11
< 0.1%
681
< 0.1%
68.21
< 0.1%
68.851
< 0.1%
71.21
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
99.931
0.2%
99.852
 
< 0.1%
99.82
 
< 0.1%
99.843
0.2%
99.754
 
< 0.1%
99.755
0.3%
99.73
 
< 0.1%
99.6512
 
0.1%
99.6252
 
< 0.1%

AST-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct542
Distinct (%)6.4%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean74.53308129
Minimum5
Maximum8567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:23.331922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12
Q118
median27
Q348
95-th percentile216.85
Maximum8567
Range8562
Interquartile range (IQR)30

Descriptive statistics

Standard deviation280.7648406
Coefficient of variation (CV)3.766982871
Kurtosis310.0415639
Mean74.53308129
Median Absolute Deviation (MAD)11
Skewness15.09768056
Sum630848
Variance78828.89569
MonotonicityNot monotonic
2021-11-29T11:33:23.430215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17324
 
1.6%
20307
 
1.5%
16306
 
1.5%
19306
 
1.5%
18304
 
1.5%
21293
 
1.5%
15270
 
1.4%
22267
 
1.3%
14259
 
1.3%
24251
 
1.3%
Other values (532)5577
27.9%
(Missing)11536
57.7%
ValueCountFrequency (%)
59
 
< 0.1%
68
 
< 0.1%
79
 
< 0.1%
825
 
0.1%
943
 
0.2%
1080
 
0.4%
11126
0.6%
12175
0.9%
13187
0.9%
14259
1.3%
ValueCountFrequency (%)
85671
< 0.1%
79061
< 0.1%
65601
< 0.1%
56941
< 0.1%
51551
< 0.1%
50121
< 0.1%
48971
< 0.1%
45061
< 0.1%
44331
< 0.1%
43401
< 0.1%

AST-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct717
Distinct (%)8.5%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean137.2675449
Minimum5
Maximum9961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:23.533773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q120
median29
Q356
95-th percentile364.85
Maximum9961
Range9956
Interquartile range (IQR)36

Descriptive statistics

Standard deviation621.3371001
Coefficient of variation (CV)4.526467641
Kurtosis120.1149451
Mean137.2675449
Median Absolute Deviation (MAD)12
Skewness10.16229717
Sum1161832.5
Variance386059.792
MonotonicityNot monotonic
2021-11-29T11:33:23.638712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17292
 
1.5%
21289
 
1.4%
20286
 
1.4%
18283
 
1.4%
19281
 
1.4%
22269
 
1.3%
16256
 
1.3%
23242
 
1.2%
24236
 
1.2%
15220
 
1.1%
Other values (707)5810
29.0%
(Missing)11536
57.7%
ValueCountFrequency (%)
52
 
< 0.1%
65
 
< 0.1%
79
 
< 0.1%
814
 
0.1%
935
 
0.2%
9.51
 
< 0.1%
1060
0.3%
11106
0.5%
12143
0.7%
13142
0.7%
ValueCountFrequency (%)
99611
< 0.1%
97471
< 0.1%
97101
< 0.1%
96021
< 0.1%
95821
< 0.1%
95201
< 0.1%
94891
< 0.1%
92441
< 0.1%
92291
< 0.1%
91851
< 0.1%

AST-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1140
Distinct (%)13.5%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean102.5666227
Minimum5
Maximum9264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:23.743520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q119
median28
Q353
95-th percentile288.925
Maximum9264
Range9259
Interquartile range (IQR)34

Descriptive statistics

Standard deviation408.9595643
Coefficient of variation (CV)3.987257781
Kurtosis147.3602341
Mean102.5666227
Median Absolute Deviation (MAD)11.5
Skewness10.87603604
Sum868123.8943
Variance167247.9253
MonotonicityNot monotonic
2021-11-29T11:33:23.938775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18263
 
1.3%
19262
 
1.3%
17254
 
1.3%
21245
 
1.2%
20241
 
1.2%
16228
 
1.1%
22219
 
1.1%
24214
 
1.1%
15213
 
1.1%
23197
 
1.0%
Other values (1130)6128
30.6%
(Missing)11536
57.7%
ValueCountFrequency (%)
52
 
< 0.1%
5.51
 
< 0.1%
65
 
< 0.1%
6.52
 
< 0.1%
77
 
< 0.1%
815
0.1%
8.251
 
< 0.1%
8.56
 
< 0.1%
933
0.2%
9.511
 
0.1%
ValueCountFrequency (%)
92641
< 0.1%
79061
< 0.1%
68361
< 0.1%
6642.21
< 0.1%
6602.51
< 0.1%
65601
< 0.1%
62361
< 0.1%
6069.61
< 0.1%
5866.51
< 0.1%
5805.6666671
< 0.1%

AST-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct801
Distinct (%)9.5%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean99.08066517
Minimum5
Maximum9264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:24.041257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q119
median28
Q352.5
95-th percentile283
Maximum9264
Range9259
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation403.3067974
Coefficient of variation (CV)4.070489401
Kurtosis173.4224384
Mean99.08066517
Median Absolute Deviation (MAD)11.5
Skewness11.78378329
Sum838618.75
Variance162656.3728
MonotonicityNot monotonic
2021-11-29T11:33:24.141482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19273
 
1.4%
18267
 
1.3%
17262
 
1.3%
21259
 
1.3%
20255
 
1.3%
16239
 
1.2%
22228
 
1.1%
15226
 
1.1%
24222
 
1.1%
14210
 
1.1%
Other values (791)6023
30.1%
(Missing)11536
57.7%
ValueCountFrequency (%)
52
 
< 0.1%
5.51
 
< 0.1%
65
 
< 0.1%
6.52
 
< 0.1%
77
 
< 0.1%
814
 
0.1%
8.251
 
< 0.1%
8.56
 
< 0.1%
935
0.2%
9.512
 
0.1%
ValueCountFrequency (%)
92641
< 0.1%
79381
< 0.1%
79061
< 0.1%
7416.51
< 0.1%
73941
< 0.1%
68461
< 0.1%
6602.51
< 0.1%
65601
< 0.1%
60581
< 0.1%
5866.51
< 0.1%

BUN-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct167
Distinct (%)0.9%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean19.24591233
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:24.244757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median15
Q322
95-th percentile51
Maximum177
Range176
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.02085159
Coefficient of variation (CV)0.8324287939
Kurtosis11.64271136
Mean19.24591233
Median Absolute Deviation (MAD)6
Skewness2.836883334
Sum354298
Variance256.6676855
MonotonicityNot monotonic
2021-11-29T11:33:24.346785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121068
 
5.3%
131066
 
5.3%
111040
 
5.2%
10991
 
5.0%
9909
 
4.5%
14892
 
4.5%
8860
 
4.3%
15844
 
4.2%
16755
 
3.8%
17731
 
3.7%
Other values (157)9253
46.3%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
147
 
0.2%
274
 
0.4%
3183
 
0.9%
3.51
 
< 0.1%
4307
1.5%
4.52
 
< 0.1%
5438
2.2%
5.52
 
< 0.1%
6571
2.9%
7719
3.6%
ValueCountFrequency (%)
1771
< 0.1%
1731
< 0.1%
1701
< 0.1%
1611
< 0.1%
1571
< 0.1%
1521
< 0.1%
1511
< 0.1%
1491
< 0.1%
1451
< 0.1%
1421
< 0.1%

BUN-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct208
Distinct (%)1.1%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean23.73311967
Minimum1
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:24.452490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median17
Q328
95-th percentile64
Maximum268
Range267
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.10751106
Coefficient of variation (CV)0.8472342171
Kurtosis12.91482916
Mean23.73311967
Median Absolute Deviation (MAD)7
Skewness2.88575184
Sum436903
Variance404.3120011
MonotonicityNot monotonic
2021-11-29T11:33:24.552705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14925
 
4.6%
13911
 
4.6%
12880
 
4.4%
15877
 
4.4%
11851
 
4.3%
10787
 
3.9%
17765
 
3.8%
16750
 
3.8%
18680
 
3.4%
9660
 
3.3%
Other values (198)10323
51.6%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
16
 
< 0.1%
221
 
0.1%
369
 
0.3%
4138
 
0.7%
4.52
 
< 0.1%
5236
1.2%
5.52
 
< 0.1%
6372
1.9%
6.51
 
< 0.1%
7477
2.4%
ValueCountFrequency (%)
2681
< 0.1%
2521
< 0.1%
2321
< 0.1%
2271
< 0.1%
2111
< 0.1%
2021
< 0.1%
2011
< 0.1%
1901
< 0.1%
1891
< 0.1%
1862
< 0.1%

BUN-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1122
Distinct (%)6.1%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean21.43511645
Minimum1
Maximum192.8333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:24.653829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median16
Q325
95-th percentile57
Maximum192.8333333
Range191.8333333
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.55304021
Coefficient of variation (CV)0.8188917588
Kurtosis10.36440433
Mean21.43511645
Median Absolute Deviation (MAD)6
Skewness2.69803319
Sum394599.0587
Variance308.1092206
MonotonicityNot monotonic
2021-11-29T11:33:24.756233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13653
 
3.3%
12651
 
3.3%
10601
 
3.0%
14588
 
2.9%
11576
 
2.9%
15519
 
2.6%
16495
 
2.5%
9491
 
2.5%
17471
 
2.4%
8429
 
2.1%
Other values (1112)12935
64.7%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
16
 
< 0.1%
1.251
 
< 0.1%
1.55
 
< 0.1%
1.5384615381
 
< 0.1%
1.5833333332
 
< 0.1%
1.6666666676
 
< 0.1%
1.751
 
< 0.1%
216
0.1%
2.1251
 
< 0.1%
2.3333333331
 
< 0.1%
ValueCountFrequency (%)
192.83333331
< 0.1%
181.61
< 0.1%
179.51
< 0.1%
1781
< 0.1%
1721
< 0.1%
1701
< 0.1%
1611
< 0.1%
1521
< 0.1%
151.33333331
< 0.1%
1471
< 0.1%

BUN-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct305
Distinct (%)1.7%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean21.38318214
Minimum1
Maximum202.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:24.864998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median16
Q325
95-th percentile56.8
Maximum202.5
Range201.5
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.61743484
Coefficient of variation (CV)0.8238921002
Kurtosis10.74599209
Mean21.38318214
Median Absolute Deviation (MAD)6
Skewness2.731324231
Sum393643
Variance310.3740104
MonotonicityNot monotonic
2021-11-29T11:33:24.968379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12798
 
4.0%
13790
 
4.0%
14746
 
3.7%
10732
 
3.7%
11731
 
3.7%
15636
 
3.2%
9628
 
3.1%
16615
 
3.1%
17593
 
3.0%
18525
 
2.6%
Other values (295)11615
58.1%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
112
 
0.1%
1.252
 
< 0.1%
1.57
 
< 0.1%
222
 
0.1%
2.58
 
< 0.1%
379
0.4%
3.528
 
0.1%
3.751
 
< 0.1%
4159
0.8%
4.251
 
< 0.1%
ValueCountFrequency (%)
202.51
< 0.1%
2001
< 0.1%
1821
< 0.1%
179.51
< 0.1%
1702
< 0.1%
1611
< 0.1%
1521
< 0.1%
1511
< 0.1%
1471
< 0.1%
1451
< 0.1%

Alkalinephos-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct422
Distinct (%)5.0%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean85.2688902
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:25.076997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile32.45
Q151
median67
Q394
95-th percentile189
Maximum1650
Range1639
Interquartile range (IQR)43

Descriptive statistics

Standard deviation77.18846698
Coefficient of variation (CV)0.9052359753
Kurtosis80.63166588
Mean85.2688902
Median Absolute Deviation (MAD)19
Skewness6.819773184
Sum722227.5
Variance5958.059435
MonotonicityNot monotonic
2021-11-29T11:33:25.175929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56150
 
0.8%
58146
 
0.7%
52140
 
0.7%
54139
 
0.7%
51139
 
0.7%
53136
 
0.7%
49135
 
0.7%
61134
 
0.7%
57134
 
0.7%
46132
 
0.7%
Other values (412)7085
35.4%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
 
< 0.1%
121
 
< 0.1%
132
 
< 0.1%
142
 
< 0.1%
155
< 0.1%
167
< 0.1%
177
< 0.1%
186
< 0.1%
1910
0.1%
209
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
12141
< 0.1%
11601
< 0.1%
11291
< 0.1%
10721
< 0.1%
9871
< 0.1%
9721
< 0.1%
9581
< 0.1%
9351
< 0.1%
9281
< 0.1%

Alkalinephos-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct458
Distinct (%)5.4%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean91.7742621
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:25.280750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile36
Q153
median70
Q3100
95-th percentile209
Maximum1650
Range1639
Interquartile range (IQR)47

Descriptive statistics

Standard deviation86.9212757
Coefficient of variation (CV)0.9471203986
Kurtosis71.98889947
Mean91.7742621
Median Absolute Deviation (MAD)20
Skewness6.678583052
Sum777328
Variance7555.30817
MonotonicityNot monotonic
2021-11-29T11:33:25.379988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53140
 
0.7%
66139
 
0.7%
57134
 
0.7%
58133
 
0.7%
55133
 
0.7%
56132
 
0.7%
54131
 
0.7%
69126
 
0.6%
63125
 
0.6%
61124
 
0.6%
Other values (448)7153
35.8%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
162
 
< 0.1%
184
< 0.1%
194
< 0.1%
203
 
< 0.1%
217
< 0.1%
228
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
14471
< 0.1%
13661
< 0.1%
12761
< 0.1%
12141
< 0.1%
11341
< 0.1%
11291
< 0.1%
11161
< 0.1%
10721
< 0.1%
10051
< 0.1%

Alkalinephos-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1036
Distinct (%)12.2%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean88.37053948
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:25.485834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34.05
Q152
median69
Q397
95-th percentile198
Maximum1650
Range1639
Interquartile range (IQR)45

Descriptive statistics

Standard deviation80.74393553
Coefficient of variation (CV)0.9136974382
Kurtosis74.15927109
Mean88.37053948
Median Absolute Deviation (MAD)20
Skewness6.637635128
Sum748498.4694
Variance6519.583125
MonotonicityNot monotonic
2021-11-29T11:33:25.680342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52118
 
0.6%
53117
 
0.6%
69114
 
0.6%
55113
 
0.6%
58110
 
0.5%
56108
 
0.5%
50108
 
0.5%
71107
 
0.5%
54107
 
0.5%
59106
 
0.5%
Other values (1026)7362
36.8%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
162
< 0.1%
184
< 0.1%
18.333333331
 
< 0.1%
194
< 0.1%
19.333333331
 
< 0.1%
202
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
1303.51
< 0.1%
12141
< 0.1%
11291
< 0.1%
10721
< 0.1%
1051.51
< 0.1%
1003.251
< 0.1%
9721
< 0.1%
959.51
< 0.1%
9581
< 0.1%

Alkalinephos-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct624
Distinct (%)7.4%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean88.18476978
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:25.785671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34
Q152
median69
Q396
95-th percentile198
Maximum1650
Range1639
Interquartile range (IQR)44

Descriptive statistics

Standard deviation80.47511024
Coefficient of variation (CV)0.9125737976
Kurtosis74.56907729
Mean88.18476978
Median Absolute Deviation (MAD)20
Skewness6.638995858
Sum746925
Variance6476.243368
MonotonicityNot monotonic
2021-11-29T11:33:25.884752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53126
 
0.6%
69124
 
0.6%
58124
 
0.6%
52121
 
0.6%
55119
 
0.6%
56117
 
0.6%
61115
 
0.6%
54115
 
0.6%
51113
 
0.6%
68113
 
0.6%
Other values (614)7283
36.4%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
162
 
< 0.1%
185
< 0.1%
195
< 0.1%
203
 
< 0.1%
2110
0.1%
21.51
 
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
1303.51
< 0.1%
12141
< 0.1%
11291
< 0.1%
10721
< 0.1%
1051.51
< 0.1%
9722
< 0.1%
959.51
< 0.1%
9581
< 0.1%
9331
< 0.1%

Calcium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct327
Distinct (%)1.8%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean6.739645528
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:25.989657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.09
Q16.8
median8.1
Q38.6
95-th percentile9.3
Maximum27
Range26
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation3.067395095
Coefficient of variation (CV)0.455127066
Kurtosis0.02832909665
Mean6.739645528
Median Absolute Deviation (MAD)0.7
Skewness-1.024280748
Sum124346.46
Variance9.408912672
MonotonicityNot monotonic
2021-11-29T11:33:26.090023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3938
 
4.7%
8.5921
 
4.6%
8.2896
 
4.5%
8.6886
 
4.4%
8.4885
 
4.4%
8.1811
 
4.1%
8.8770
 
3.9%
8.7768
 
3.8%
8725
 
3.6%
8.9666
 
3.3%
Other values (317)10184
50.9%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
152
 
0.3%
1.0155
 
0.3%
1.0274
0.4%
1.0371
0.4%
1.0493
0.5%
1.0578
0.4%
1.06113
0.6%
1.07108
0.5%
1.08155
0.8%
1.09169
0.8%
ValueCountFrequency (%)
271
 
< 0.1%
25.21
 
< 0.1%
23.71
 
< 0.1%
191
 
< 0.1%
18.82
 
< 0.1%
18.63
< 0.1%
18.24
< 0.1%
182
 
< 0.1%
17.85
< 0.1%
17.61
 
< 0.1%

Calcium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct241
Distinct (%)1.3%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean8.680187534
Minimum1.07
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:26.186405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.07
5-th percentile7.5
Q18.2
median8.6
Q39
95-th percentile9.7775
Maximum27.9
Range26.83
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.253103093
Coefficient of variation (CV)0.1443635968
Kurtosis41.41546674
Mean8.680187534
Median Absolute Deviation (MAD)0.4
Skewness4.233694042
Sum160149.46
Variance1.570267361
MonotonicityNot monotonic
2021-11-29T11:33:26.287783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.51208
 
6.0%
8.61196
 
6.0%
8.71149
 
5.7%
8.31144
 
5.7%
8.81110
 
5.5%
8.41086
 
5.4%
8.91056
 
5.3%
8.2954
 
4.8%
9944
 
4.7%
8.1867
 
4.3%
Other values (231)7736
38.7%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
1.072
< 0.1%
1.083
< 0.1%
1.091
 
< 0.1%
1.12
< 0.1%
1.112
< 0.1%
1.121
 
< 0.1%
1.132
< 0.1%
1.141
 
< 0.1%
1.161
 
< 0.1%
1.172
< 0.1%
ValueCountFrequency (%)
27.91
< 0.1%
271
< 0.1%
25.21
< 0.1%
24.91
< 0.1%
23.71
< 0.1%
22.61
< 0.1%
22.22
< 0.1%
21.21
< 0.1%
20.61
< 0.1%
20.42
< 0.1%

Calcium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3769
Distinct (%)20.4%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean7.743981929
Minimum1.063333333
Maximum27.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:26.387892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.063333333
5-th percentile4.035714286
Q17.3
median8.266666667
Q38.766666667
95-th percentile9.4
Maximum27.45
Range26.38666667
Interquartile range (IQR)1.466666667

Descriptive statistics

Standard deviation1.77068401
Coefficient of variation (CV)0.2286529109
Kurtosis4.496435604
Mean7.743981929
Median Absolute Deviation (MAD)0.6166666667
Skewness-0.5413985796
Sum142876.4666
Variance3.135321863
MonotonicityNot monotonic
2021-11-29T11:33:26.486192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5647
 
3.2%
8.3549
 
2.7%
8.6542
 
2.7%
8.4513
 
2.6%
8.8501
 
2.5%
8.7497
 
2.5%
8.2479
 
2.4%
8.9445
 
2.2%
8.1441
 
2.2%
9433
 
2.2%
Other values (3759)13403
67.0%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
1.0633333331
 
< 0.1%
1.071
 
< 0.1%
1.083
< 0.1%
1.0851
 
< 0.1%
1.091
 
< 0.1%
1.12
< 0.1%
1.111
 
< 0.1%
1.121
 
< 0.1%
1.1251
 
< 0.1%
1.133
< 0.1%
ValueCountFrequency (%)
27.451
 
< 0.1%
25.21
 
< 0.1%
23.71
 
< 0.1%
19.11
 
< 0.1%
18.82
< 0.1%
18.63
< 0.1%
18.31
 
< 0.1%
18.23
< 0.1%
18.11
 
< 0.1%
182
< 0.1%

Calcium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1009
Distinct (%)5.5%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean7.791532249
Minimum1.01
Maximum27.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:26.582182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.01
5-th percentile1.33
Q17.8
median8.3
Q38.8
95-th percentile9.4
Maximum27.45
Range26.44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.053533862
Coefficient of variation (CV)0.2635596948
Kurtosis5.568138851
Mean7.791532249
Median Absolute Deviation (MAD)0.5
Skewness-1.587741001
Sum143753.77
Variance4.217001322
MonotonicityNot monotonic
2021-11-29T11:33:26.682168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3845
 
4.2%
8.5837
 
4.2%
8.2762
 
3.8%
8.6754
 
3.8%
8.8741
 
3.7%
8.7740
 
3.7%
8.4726
 
3.6%
8.1669
 
3.3%
8606
 
3.0%
8.9575
 
2.9%
Other values (999)11195
56.0%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
1.011
 
< 0.1%
1.043
 
< 0.1%
1.051
 
< 0.1%
1.0551
 
< 0.1%
1.061
 
< 0.1%
1.076
< 0.1%
1.0752
 
< 0.1%
1.086
< 0.1%
1.0852
 
< 0.1%
1.0913
0.1%
ValueCountFrequency (%)
27.451
 
< 0.1%
25.21
 
< 0.1%
23.71
 
< 0.1%
19.11
 
< 0.1%
18.82
< 0.1%
18.63
< 0.1%
18.31
 
< 0.1%
18.23
< 0.1%
18.11
 
< 0.1%
182
< 0.1%

Chloride-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct56
Distinct (%)3.5%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean104.9931973
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:26.779727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile96
Q1103
median105
Q3108
95-th percentile112
Maximum124
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.120541116
Coefficient of variation (CV)0.04877021796
Kurtosis3.206393389
Mean104.9931973
Median Absolute Deviation (MAD)3
Skewness-0.8108677937
Sum169774
Variance26.21994132
MonotonicityNot monotonic
2021-11-29T11:33:26.881704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105161
 
0.8%
107160
 
0.8%
106155
 
0.8%
108148
 
0.7%
104127
 
0.6%
103118
 
0.6%
10998
 
0.5%
10294
 
0.5%
11079
 
0.4%
10156
 
0.3%
Other values (46)421
 
2.1%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
781
 
< 0.1%
801
 
< 0.1%
821
 
< 0.1%
832
 
< 0.1%
851
 
< 0.1%
863
< 0.1%
885
< 0.1%
893
< 0.1%
903
< 0.1%
ValueCountFrequency (%)
1243
 
< 0.1%
1231
 
< 0.1%
1221
 
< 0.1%
1201
 
< 0.1%
1193
 
< 0.1%
1184
 
< 0.1%
1177
< 0.1%
1161
 
< 0.1%
1157
< 0.1%
11415
0.1%

Chloride-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct53
Distinct (%)3.3%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean106.7959184
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:26.981017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q1104
median107
Q3110
95-th percentile115
Maximum124
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.408307065
Coefficient of variation (CV)0.05064151465
Kurtosis2.309776643
Mean106.7959184
Median Absolute Deviation (MAD)3
Skewness-0.5865828136
Sum172689
Variance29.24978531
MonotonicityNot monotonic
2021-11-29T11:33:27.083251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107157
 
0.8%
108147
 
0.7%
109135
 
0.7%
106134
 
0.7%
105116
 
0.6%
110112
 
0.6%
10495
 
0.5%
11194
 
0.5%
10387
 
0.4%
10262
 
0.3%
Other values (43)478
 
2.4%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
821
 
< 0.1%
851
 
< 0.1%
863
 
< 0.1%
884
< 0.1%
892
 
< 0.1%
904
< 0.1%
915
< 0.1%
924
< 0.1%
938
< 0.1%
ValueCountFrequency (%)
1247
< 0.1%
1231
 
< 0.1%
1222
 
< 0.1%
1213
 
< 0.1%
1206
 
< 0.1%
1195
 
< 0.1%
1189
< 0.1%
1178
< 0.1%
116.51
 
< 0.1%
11617
0.1%

Chloride-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct321
Distinct (%)19.9%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean105.9066444
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:27.182886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q1103.5
median106.2857143
Q3109
95-th percentile113
Maximum124
Range50
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.04682118
Coefficient of variation (CV)0.04765348961
Kurtosis3.06717699
Mean105.9066444
Median Absolute Deviation (MAD)2.714285714
Skewness-0.8022249078
Sum171251.0441
Variance25.47040402
MonotonicityNot monotonic
2021-11-29T11:33:27.378996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107100
 
0.5%
10898
 
0.5%
10696
 
0.5%
10594
 
0.5%
10980
 
0.4%
10378
 
0.4%
10473
 
0.4%
11059
 
0.3%
10251
 
0.3%
11134
 
0.2%
Other values (311)854
 
4.3%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
821
 
< 0.1%
82.51
 
< 0.1%
83.333333331
 
< 0.1%
851
 
< 0.1%
862
< 0.1%
884
< 0.1%
88.777777781
 
< 0.1%
893
< 0.1%
89.51
 
< 0.1%
ValueCountFrequency (%)
1243
< 0.1%
1232
 
< 0.1%
1221
 
< 0.1%
121.66666671
 
< 0.1%
1192
 
< 0.1%
118.66666671
 
< 0.1%
118.52
 
< 0.1%
1185
< 0.1%
117.51
 
< 0.1%
117.21
 
< 0.1%

Chloride-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct86
Distinct (%)5.3%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean105.9225417
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:27.481086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q1103.5
median106
Q3109
95-th percentile113
Maximum124
Range50
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.065038683
Coefficient of variation (CV)0.04781832649
Kurtosis3.110997013
Mean105.9225417
Median Absolute Deviation (MAD)3
Skewness-0.8143374426
Sum171276.75
Variance25.65461686
MonotonicityNot monotonic
2021-11-29T11:33:27.581548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107144
 
0.7%
108128
 
0.6%
106126
 
0.6%
105125
 
0.6%
109104
 
0.5%
10490
 
0.4%
10388
 
0.4%
11082
 
0.4%
10261
 
0.3%
11156
 
0.3%
Other values (76)613
 
3.1%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
811
 
< 0.1%
821
 
< 0.1%
82.51
 
< 0.1%
863
< 0.1%
871
 
< 0.1%
884
< 0.1%
893
< 0.1%
89.51
 
< 0.1%
902
< 0.1%
ValueCountFrequency (%)
1243
< 0.1%
1232
 
< 0.1%
1222
 
< 0.1%
1192
 
< 0.1%
118.51
 
< 0.1%
1185
< 0.1%
117.52
 
< 0.1%
1176
< 0.1%
116.52
 
< 0.1%
1162
 
< 0.1%

Creatinine-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1018
Distinct (%)5.5%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.445464371
Minimum0.2
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:27.681038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.49
Q10.69
median0.89
Q31.26
95-th percentile5.02
Maximum25
Range24.8
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation1.902371228
Coefficient of variation (CV)1.316096935
Kurtosis28.92521167
Mean1.445464371
Median Absolute Deviation (MAD)0.24
Skewness4.707814211
Sum26613.89
Variance3.619016291
MonotonicityNot monotonic
2021-11-29T11:33:27.779912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8281
 
1.4%
0.81279
 
1.4%
0.79275
 
1.4%
0.82263
 
1.3%
0.77259
 
1.3%
0.69258
 
1.3%
0.73254
 
1.3%
0.68244
 
1.2%
0.78242
 
1.2%
0.72241
 
1.2%
Other values (1008)15816
79.1%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.24
 
< 0.1%
0.211
 
< 0.1%
0.222
 
< 0.1%
0.231
 
< 0.1%
0.241
 
< 0.1%
0.251
 
< 0.1%
0.272
 
< 0.1%
0.285
 
< 0.1%
0.293
 
< 0.1%
0.376
0.4%
ValueCountFrequency (%)
251
< 0.1%
23.831
< 0.1%
23.711
< 0.1%
23.651
< 0.1%
22.961
< 0.1%
22.011
< 0.1%
21.971
< 0.1%
21.461
< 0.1%
21.311
< 0.1%
21.181
< 0.1%

Creatinine-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1177
Distinct (%)6.4%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.714813165
Minimum0.2
Maximum41.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:27.879373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.55
Q10.77
median1
Q31.46
95-th percentile6.3945
Maximum41.9
Range41.7
Interquartile range (IQR)0.69

Descriptive statistics

Standard deviation2.338576173
Coefficient of variation (CV)1.363749836
Kurtosis27.40770534
Mean1.714813165
Median Absolute Deviation (MAD)0.28
Skewness4.488848926
Sum31573.14
Variance5.468938518
MonotonicityNot monotonic
2021-11-29T11:33:27.974688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.81261
 
1.3%
0.8241
 
1.2%
0.84240
 
1.2%
0.82238
 
1.2%
0.78226
 
1.1%
0.89224
 
1.1%
0.76219
 
1.1%
0.79219
 
1.1%
0.77219
 
1.1%
0.73217
 
1.1%
Other values (1167)16108
80.5%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.221
 
< 0.1%
0.241
 
< 0.1%
0.261
 
< 0.1%
0.272
 
< 0.1%
0.281
 
< 0.1%
0.291
 
< 0.1%
0.331
0.2%
0.315
 
< 0.1%
0.325
 
< 0.1%
ValueCountFrequency (%)
41.91
 
< 0.1%
29.861
 
< 0.1%
29.21
 
< 0.1%
254
< 0.1%
24.991
 
< 0.1%
24.031
 
< 0.1%
241
 
< 0.1%
23.831
 
< 0.1%
22.351
 
< 0.1%
22.21
 
< 0.1%

Creatinine-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3604
Distinct (%)19.6%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.576464298
Minimum0.2
Maximum25.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:28.070379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.53
Q10.735
median0.94
Q31.355
95-th percentile5.71
Maximum25.33
Range25.13
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation2.083636156
Coefficient of variation (CV)1.321714775
Kurtosis24.80467251
Mean1.576464298
Median Absolute Deviation (MAD)0.2566666667
Skewness4.413790644
Sum29025.86066
Variance4.341539629
MonotonicityNot monotonic
2021-11-29T11:33:28.169866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.81168
 
0.8%
0.8156
 
0.8%
0.77154
 
0.8%
0.79154
 
0.8%
0.73153
 
0.8%
0.71150
 
0.8%
0.75145
 
0.7%
0.7143
 
0.7%
0.89138
 
0.7%
0.78136
 
0.7%
Other values (3594)16915
84.6%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.222
 
< 0.1%
0.2351
 
< 0.1%
0.241
 
< 0.1%
0.271
 
< 0.1%
0.281
 
< 0.1%
0.2851
 
< 0.1%
0.332
0.2%
0.3051
 
< 0.1%
0.314
 
< 0.1%
ValueCountFrequency (%)
25.331
< 0.1%
251
< 0.1%
24.571
< 0.1%
23.831
< 0.1%
23.8251
< 0.1%
23.4951
< 0.1%
23.4851
< 0.1%
23.4351
< 0.1%
21.311
< 0.1%
21.181
< 0.1%

Creatinine-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1807
Distinct (%)9.8%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.573319846
Minimum0.2
Maximum25.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:28.267360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.525
Q10.735
median0.94
Q31.35
95-th percentile5.68
Maximum25.33
Range25.13
Interquartile range (IQR)0.615

Descriptive statistics

Standard deviation2.082281524
Coefficient of variation (CV)1.323495366
Kurtosis24.73944754
Mean1.573319846
Median Absolute Deviation (MAD)0.255
Skewness4.412836616
Sum28967.965
Variance4.335896347
MonotonicityNot monotonic
2021-11-29T11:33:28.365908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8208
 
1.0%
0.77204
 
1.0%
0.81197
 
1.0%
0.79190
 
0.9%
0.73187
 
0.9%
0.71186
 
0.9%
0.7184
 
0.9%
0.78180
 
0.9%
0.75178
 
0.9%
0.76172
 
0.9%
Other values (1797)16526
82.6%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.2051
 
< 0.1%
0.221
 
< 0.1%
0.2351
 
< 0.1%
0.241
 
< 0.1%
0.271
 
< 0.1%
0.281
 
< 0.1%
0.2851
 
< 0.1%
0.333
0.2%
0.3052
 
< 0.1%
ValueCountFrequency (%)
25.331
< 0.1%
252
< 0.1%
23.831
< 0.1%
23.8251
< 0.1%
23.4951
< 0.1%
23.4851
< 0.1%
23.371
< 0.1%
21.311
< 0.1%
21.181
< 0.1%
20.291
< 0.1%

Bilirubin_direct-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct158
Distinct (%)10.7%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.6810605031
Minimum0.01
Maximum20.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:28.466629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.4
95-th percentile2.35
Maximum20.57
Range20.56
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation1.918581063
Coefficient of variation (CV)2.817049373
Kurtosis58.88859506
Mean0.6810605031
Median Absolute Deviation (MAD)0.1
Skewness7.117946386
Sum1001.84
Variance3.680953296
MonotonicityNot monotonic
2021-11-29T11:33:28.559839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1449
 
2.2%
0.2275
 
1.4%
0.3125
 
0.6%
0.487
 
0.4%
0.540
 
0.2%
0.633
 
0.2%
123
 
0.1%
0.721
 
0.1%
1.114
 
0.1%
1.213
 
0.1%
Other values (148)391
 
2.0%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.017
 
< 0.1%
0.024
 
< 0.1%
0.035
 
< 0.1%
0.044
 
< 0.1%
0.056
 
< 0.1%
0.066
 
< 0.1%
0.077
 
< 0.1%
0.084
 
< 0.1%
0.0911
 
0.1%
0.1449
2.2%
ValueCountFrequency (%)
20.571
< 0.1%
202
< 0.1%
19.541
< 0.1%
19.081
< 0.1%
19.051
< 0.1%
18.181
< 0.1%
17.41
< 0.1%
16.61
< 0.1%
15.61
< 0.1%
151
< 0.1%

Bilirubin_direct-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct170
Distinct (%)11.6%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.7670700204
Minimum0.01
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:28.657045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.47
95-th percentile2.705
Maximum30
Range29.99
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation2.200593963
Coefficient of variation (CV)2.868830621
Kurtosis61.76617545
Mean0.7670700204
Median Absolute Deviation (MAD)0.1
Skewness7.136593048
Sum1128.36
Variance4.84261379
MonotonicityNot monotonic
2021-11-29T11:33:28.752759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1429
 
2.1%
0.2275
 
1.4%
0.3128
 
0.6%
0.484
 
0.4%
0.538
 
0.2%
0.633
 
0.2%
120
 
0.1%
0.718
 
0.1%
0.816
 
0.1%
1.114
 
0.1%
Other values (160)416
 
2.1%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.015
 
< 0.1%
0.024
 
< 0.1%
0.035
 
< 0.1%
0.044
 
< 0.1%
0.054
 
< 0.1%
0.066
 
< 0.1%
0.077
 
< 0.1%
0.084
 
< 0.1%
0.0910
 
0.1%
0.1429
2.1%
ValueCountFrequency (%)
301
< 0.1%
23.621
< 0.1%
20.571
< 0.1%
20.551
< 0.1%
202
< 0.1%
19.31
< 0.1%
18.611
< 0.1%
18.51
< 0.1%
16.61
< 0.1%
15.61
< 0.1%

Bilirubin_direct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct218
Distinct (%)14.8%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.7189215335
Minimum0.01
Maximum24.035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:28.852812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.43
95-th percentile2.5
Maximum24.035
Range24.025
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation2.022711854
Coefficient of variation (CV)2.813536332
Kurtosis59.1130836
Mean0.7189215335
Median Absolute Deviation (MAD)0.1
Skewness7.079414699
Sum1057.533576
Variance4.091363246
MonotonicityNot monotonic
2021-11-29T11:33:29.048215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1425
 
2.1%
0.2262
 
1.3%
0.3118
 
0.6%
0.480
 
0.4%
0.535
 
0.2%
0.627
 
0.1%
119
 
0.1%
0.717
 
0.1%
0.2515
 
0.1%
0.813
 
0.1%
Other values (208)460
 
2.3%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.015
< 0.1%
0.024
< 0.1%
0.035
< 0.1%
0.044
< 0.1%
0.051
 
< 0.1%
0.054
< 0.1%
0.066
< 0.1%
0.061
 
< 0.1%
0.077
< 0.1%
0.084
< 0.1%
ValueCountFrequency (%)
24.0351
< 0.1%
21.3351
< 0.1%
20.571
< 0.1%
202
< 0.1%
19.8151
< 0.1%
18.3951
< 0.1%
17.951
< 0.1%
16.61
< 0.1%
15.61
< 0.1%
15.21
< 0.1%

Bilirubin_direct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct193
Distinct (%)13.1%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.7139055065
Minimum0.01
Maximum23.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:29.145189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.405
95-th percentile2.48
Maximum23.3
Range23.29
Interquartile range (IQR)0.305

Descriptive statistics

Standard deviation2.00545946
Coefficient of variation (CV)2.809138523
Kurtosis59.33609311
Mean0.7139055065
Median Absolute Deviation (MAD)0.1
Skewness7.099006483
Sum1050.155
Variance4.021867645
MonotonicityNot monotonic
2021-11-29T11:33:29.240927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1432
 
2.2%
0.2265
 
1.3%
0.3119
 
0.6%
0.484
 
0.4%
0.536
 
0.2%
0.628
 
0.1%
121
 
0.1%
0.720
 
0.1%
0.2517
 
0.1%
0.813
 
0.1%
Other values (183)436
 
2.2%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.015
< 0.1%
0.024
< 0.1%
0.035
< 0.1%
0.044
< 0.1%
0.051
 
< 0.1%
0.054
< 0.1%
0.066
< 0.1%
0.061
 
< 0.1%
0.077
< 0.1%
0.084
< 0.1%
ValueCountFrequency (%)
23.31
< 0.1%
21.3351
< 0.1%
20.571
< 0.1%
202
< 0.1%
19.8151
< 0.1%
18.3951
< 0.1%
17.951
< 0.1%
16.61
< 0.1%
15.61
< 0.1%
151
< 0.1%

Glucose-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct394
Distinct (%)2.1%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean101.9483587
Minimum13
Maximum409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:29.339680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile66
Q186
median98
Q3114
95-th percentile151
Maximum409
Range396
Interquartile range (IQR)28

Descriptive statistics

Standard deviation27.98982318
Coefficient of variation (CV)0.2745490318
Kurtosis8.007447523
Mean101.9483587
Median Absolute Deviation (MAD)14
Skewness1.705717808
Sum1919381.75
Variance783.4302018
MonotonicityNot monotonic
2021-11-29T11:33:29.442350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96405
 
2.0%
95401
 
2.0%
97397
 
2.0%
93391
 
2.0%
90387
 
1.9%
99382
 
1.9%
94380
 
1.9%
91379
 
1.9%
92371
 
1.9%
101371
 
1.9%
Other values (384)14963
74.8%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
131
 
< 0.1%
151
 
< 0.1%
161
 
< 0.1%
211
 
< 0.1%
23.51
 
< 0.1%
261
 
< 0.1%
282
 
< 0.1%
29.51
 
< 0.1%
3023
0.1%
30.51
 
< 0.1%
ValueCountFrequency (%)
4091
< 0.1%
3891
< 0.1%
369.51
< 0.1%
3671
< 0.1%
3541
< 0.1%
349.51
< 0.1%
3231
< 0.1%
3221
< 0.1%
3001
< 0.1%
2971
< 0.1%

Glucose-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct744
Distinct (%)4.0%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean170.4204116
Minimum44
Maximum891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:29.549740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile94
Q1122
median152
Q3195
95-th percentile313
Maximum891
Range847
Interquartile range (IQR)73

Descriptive statistics

Standard deviation72.78074433
Coefficient of variation (CV)0.4270658874
Kurtosis7.229435721
Mean170.4204116
Median Absolute Deviation (MAD)34
Skewness2.086764832
Sum3208505.09
Variance5297.036745
MonotonicityNot monotonic
2021-11-29T11:33:29.640975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147176
 
0.9%
146171
 
0.9%
136169
 
0.8%
133169
 
0.8%
121168
 
0.8%
150164
 
0.8%
115164
 
0.8%
120161
 
0.8%
140160
 
0.8%
134158
 
0.8%
Other values (734)17167
85.8%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
441
 
< 0.1%
511
 
< 0.1%
59.51
 
< 0.1%
611
 
< 0.1%
621
 
< 0.1%
631
 
< 0.1%
663
< 0.1%
671
 
< 0.1%
682
< 0.1%
691
 
< 0.1%
ValueCountFrequency (%)
8911
< 0.1%
8711
< 0.1%
8501
< 0.1%
7881
< 0.1%
7571
< 0.1%
7341
< 0.1%
7221
< 0.1%
7081
< 0.1%
6931
< 0.1%
6921
< 0.1%

Glucose-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct7610
Distinct (%)40.4%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean130.9364556
Minimum44
Maximum444.6666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:29.738982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile88.5
Q1106.6
median124.2
Q3144.125
95-th percentile201.4143939
Maximum444.6666667
Range400.6666667
Interquartile range (IQR)37.525

Descriptive statistics

Standard deviation36.20263241
Coefficient of variation (CV)0.2764900902
Kurtosis5.310666208
Mean130.9364556
Median Absolute Deviation (MAD)18.55
Skewness1.733113816
Sum2465140.649
Variance1310.630593
MonotonicityNot monotonic
2021-11-29T11:33:29.836975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99109
 
0.5%
95101
 
0.5%
10194
 
0.5%
10292
 
0.5%
10686
 
0.4%
9685
 
0.4%
10484
 
0.4%
11883
 
0.4%
9283
 
0.4%
9482
 
0.4%
Other values (7600)17928
89.6%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
441
 
< 0.1%
511
 
< 0.1%
59.166666671
 
< 0.1%
611
 
< 0.1%
61.51
 
< 0.1%
622
< 0.1%
641
 
< 0.1%
65.607142861
 
< 0.1%
663
< 0.1%
671
 
< 0.1%
ValueCountFrequency (%)
444.66666671
< 0.1%
439.8751
< 0.1%
425.16666671
< 0.1%
415.351
< 0.1%
412.406251
< 0.1%
401.51
< 0.1%
3921
< 0.1%
3891
< 0.1%
376.51
< 0.1%
365.33333331
< 0.1%

Glucose-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct714
Distinct (%)3.8%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean128.1403591
Minimum44
Maximum446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:29.942026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile87
Q1104.5
median122
Q3140.5
95-th percentile196.5
Maximum446
Range402
Interquartile range (IQR)36

Descriptive statistics

Standard deviation35.65520072
Coefficient of variation (CV)0.2782511379
Kurtosis6.506633846
Mean128.1403591
Median Absolute Deviation (MAD)18
Skewness1.887041391
Sum2412498.54
Variance1271.293339
MonotonicityNot monotonic
2021-11-29T11:33:30.040163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126223
 
1.1%
115213
 
1.1%
118212
 
1.1%
122212
 
1.1%
108210
 
1.1%
127206
 
1.0%
121206
 
1.0%
116206
 
1.0%
123205
 
1.0%
114202
 
1.0%
Other values (704)16732
83.7%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
441
< 0.1%
501
< 0.1%
511
< 0.1%
592
< 0.1%
611
< 0.1%
61.51
< 0.1%
622
< 0.1%
631
< 0.1%
642
< 0.1%
65.251
< 0.1%
ValueCountFrequency (%)
4461
< 0.1%
4452
< 0.1%
4291
< 0.1%
424.51
< 0.1%
401.51
< 0.1%
3891
< 0.1%
384.51
< 0.1%
3841
< 0.1%
3811
< 0.1%
376.51
< 0.1%

Lactate-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct493
Distinct (%)10.4%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean1.765405462
Minimum0.4
Maximum19.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:30.146585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.7495
Q11.07
median1.41
Q31.98
95-th percentile3.7605
Maximum19.12
Range18.72
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation1.383693755
Coefficient of variation (CV)0.7837824143
Kurtosis38.8292031
Mean1.765405462
Median Absolute Deviation (MAD)0.41
Skewness5.058561021
Sum8403.33
Variance1.914608409
MonotonicityNot monotonic
2021-11-29T11:33:30.250072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.269
 
0.3%
0.863
 
0.3%
161
 
0.3%
1.161
 
0.3%
0.953
 
0.3%
1.2349
 
0.2%
1.348
 
0.2%
0.747
 
0.2%
1.3144
 
0.2%
1.443
 
0.2%
Other values (483)4222
 
21.1%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.41
 
< 0.1%
0.461
 
< 0.1%
0.511
0.1%
0.533
 
< 0.1%
0.542
 
< 0.1%
0.552
 
< 0.1%
0.564
 
< 0.1%
0.574
 
< 0.1%
0.581
 
< 0.1%
0.592
 
< 0.1%
ValueCountFrequency (%)
19.121
< 0.1%
17.752
< 0.1%
17.421
< 0.1%
16.151
< 0.1%
15.941
< 0.1%
151
< 0.1%
14.441
< 0.1%
13.671
< 0.1%
13.061
< 0.1%
12.981
< 0.1%

Lactate-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct874
Distinct (%)18.4%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean2.890462185
Minimum0.5
Maximum22.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:30.359511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.88
Q11.34
median1.95
Q33.34
95-th percentile8.201
Maximum22.25
Range21.75
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.675611187
Coefficient of variation (CV)0.9256689818
Kurtosis10.73650928
Mean2.890462185
Median Absolute Deviation (MAD)0.75
Skewness2.871853144
Sum13758.6
Variance7.158895227
MonotonicityNot monotonic
2021-11-29T11:33:30.451559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.437
 
0.2%
1.237
 
0.2%
1.337
 
0.2%
1.135
 
0.2%
1.733
 
0.2%
1.3430
 
0.1%
1.3530
 
0.1%
0.929
 
0.1%
129
 
0.1%
1.4728
 
0.1%
Other values (864)4435
 
22.2%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.54
< 0.1%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.562
 
< 0.1%
0.574
< 0.1%
0.591
 
< 0.1%
0.66
< 0.1%
0.611
 
< 0.1%
0.621
 
< 0.1%
0.634
< 0.1%
ValueCountFrequency (%)
22.251
< 0.1%
21.521
< 0.1%
21.261
< 0.1%
21.211
< 0.1%
19.791
< 0.1%
19.711
< 0.1%
19.661
< 0.1%
19.321
< 0.1%
19.121
< 0.1%
19.021
< 0.1%

Lactate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2042
Distinct (%)42.9%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean2.274262809
Minimum0.5
Maximum21.04363636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:30.548707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.85
Q11.26
median1.73
Q32.621458333
95-th percentile5.416607143
Maximum21.04363636
Range20.54363636
Interquartile range (IQR)1.361458333

Descriptive statistics

Standard deviation1.818896201
Coefficient of variation (CV)0.7997739724
Kurtosis21.5552717
Mean2.274262809
Median Absolute Deviation (MAD)0.5766666667
Skewness3.769069307
Sum10825.49097
Variance3.30838339
MonotonicityNot monotonic
2021-11-29T11:33:30.738385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.234
 
0.2%
1.130
 
0.1%
1.330
 
0.1%
1.2328
 
0.1%
1.427
 
0.1%
127
 
0.1%
0.924
 
0.1%
1.4223
 
0.1%
1.3523
 
0.1%
1.3122
 
0.1%
Other values (2032)4492
 
22.5%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.54
< 0.1%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.562
 
< 0.1%
0.574
< 0.1%
0.591
 
< 0.1%
0.66
< 0.1%
0.611
 
< 0.1%
0.6151
 
< 0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
21.043636361
< 0.1%
19.4251
< 0.1%
19.121
< 0.1%
17.751
< 0.1%
17.421
< 0.1%
16.902666671
< 0.1%
16.731666671
< 0.1%
16.293333331
< 0.1%
15.941
< 0.1%
15.9351
< 0.1%

Lactate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1082
Distinct (%)22.7%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean2.232431723
Minimum0.5
Maximum22.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:30.837867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.84
Q11.24
median1.7
Q32.5
95-th percentile5.33075
Maximum22.25
Range21.75
Interquartile range (IQR)1.26

Descriptive statistics

Standard deviation1.83628181
Coefficient of variation (CV)0.8225478033
Kurtosis22.78210679
Mean2.232431723
Median Absolute Deviation (MAD)0.55
Skewness3.919380805
Sum10626.375
Variance3.371930884
MonotonicityNot monotonic
2021-11-29T11:33:30.933328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.145
 
0.2%
1.241
 
0.2%
1.438
 
0.2%
1.336
 
0.2%
134
 
0.2%
0.930
 
0.1%
1.530
 
0.1%
1.0829
 
0.1%
1.4229
 
0.1%
1.3529
 
0.1%
Other values (1072)4419
 
22.1%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.54
< 0.1%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.562
 
< 0.1%
0.574
< 0.1%
0.591
 
< 0.1%
0.68
< 0.1%
0.612
 
< 0.1%
0.6151
 
< 0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
22.251
< 0.1%
19.3451
< 0.1%
19.121
< 0.1%
17.751
< 0.1%
17.421
< 0.1%
16.971
< 0.1%
16.961
< 0.1%
16.8951
< 0.1%
161
< 0.1%
15.941
< 0.1%

Magnesium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct58
Distinct (%)0.4%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.904144133
Minimum0.5
Maximum6.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:31.028889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.4
Q11.7
median1.9
Q32.1
95-th percentile2.4
Maximum6.2
Range5.7
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.3193901207
Coefficient of variation (CV)0.1677342146
Kurtosis9.487936571
Mean1.904144133
Median Absolute Deviation (MAD)0.2
Skewness1.209795446
Sum31336.5
Variance0.1020100492
MonotonicityNot monotonic
2021-11-29T11:33:31.120998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.92741
13.7%
1.82459
12.3%
22113
10.6%
1.71793
9.0%
2.11619
8.1%
1.61220
 
6.1%
2.21074
 
5.4%
1.5733
 
3.7%
2.3681
 
3.4%
1.4435
 
2.2%
Other values (48)1589
7.9%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.52
 
< 0.1%
0.61
 
< 0.1%
0.71
 
< 0.1%
0.86
 
< 0.1%
0.915
 
0.1%
137
 
0.2%
1.166
 
0.3%
1.2127
0.6%
1.3250
1.2%
1.351
 
< 0.1%
ValueCountFrequency (%)
6.21
< 0.1%
61
< 0.1%
5.41
< 0.1%
5.11
< 0.1%
51
< 0.1%
4.92
< 0.1%
4.81
< 0.1%
4.51
< 0.1%
4.31
< 0.1%
4.21
< 0.1%

Magnesium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct70
Distinct (%)0.4%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.148046424
Minimum0.5
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:31.221662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.6
Q11.9
median2.1
Q32.3
95-th percentile2.8
Maximum9.8
Range9.3
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.4110517987
Coefficient of variation (CV)0.1913607612
Kurtosis30.69868694
Mean2.148046424
Median Absolute Deviation (MAD)0.2
Skewness3.084404281
Sum35350.4
Variance0.1689635812
MonotonicityNot monotonic
2021-11-29T11:33:31.316163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22343
11.7%
2.12287
11.4%
2.21991
10.0%
1.91712
8.6%
2.31551
7.8%
1.81258
 
6.3%
2.41091
 
5.5%
2.5811
 
4.1%
1.7754
 
3.8%
2.6511
 
2.6%
Other values (60)2148
10.7%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.71
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.116
 
0.1%
1.230
 
0.1%
1.365
 
0.3%
1.4126
0.6%
1.451
 
< 0.1%
1.5251
1.3%
ValueCountFrequency (%)
9.81
< 0.1%
9.31
< 0.1%
8.11
< 0.1%
7.91
< 0.1%
7.61
< 0.1%
71
< 0.1%
6.51
< 0.1%
6.41
< 0.1%
6.22
< 0.1%
6.11
< 0.1%

Magnesium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct516
Distinct (%)3.1%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.024972919
Minimum0.5
Maximum8.042857143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:31.412460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.6
Q11.85
median2
Q32.166666667
95-th percentile2.5
Maximum8.042857143
Range7.542857143
Interquartile range (IQR)0.3166666667

Descriptive statistics

Standard deviation0.3178351334
Coefficient of variation (CV)0.1569577205
Kurtosis25.3527359
Mean2.024972919
Median Absolute Deviation (MAD)0.15
Skewness2.493858888
Sum33324.97932
Variance0.101019172
MonotonicityNot monotonic
2021-11-29T11:33:31.507457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21719
 
8.6%
1.91412
 
7.1%
2.11361
 
6.8%
1.81126
 
5.6%
2.2848
 
4.2%
1.7721
 
3.6%
2.3569
 
2.8%
2.05532
 
2.7%
1.85425
 
2.1%
1.95418
 
2.1%
Other values (506)7326
36.6%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.651
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.051
 
< 0.1%
1.115
0.1%
1.152
 
< 0.1%
1.228
0.1%
1.21
 
< 0.1%
1.2333333331
 
< 0.1%
ValueCountFrequency (%)
8.0428571431
< 0.1%
7.2666666671
< 0.1%
6.351
< 0.1%
6.21
< 0.1%
6.0333333331
< 0.1%
5.341
< 0.1%
5.31
< 0.1%
5.0666666671
< 0.1%
51
< 0.1%
4.9166666671
< 0.1%

Magnesium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct117
Distinct (%)0.7%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.024313362
Minimum0.5
Maximum8.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:31.608638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.6
Q11.85
median2
Q32.2
95-th percentile2.5
Maximum8.4
Range7.9
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.3229414811
Coefficient of variation (CV)0.1595313686
Kurtosis25.67020394
Mean2.024313362
Median Absolute Deviation (MAD)0.15
Skewness2.517298682
Sum33314.125
Variance0.1042912002
MonotonicityNot monotonic
2021-11-29T11:33:31.710027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22241
11.2%
1.91917
9.6%
2.11816
 
9.1%
1.81350
 
6.8%
2.21276
 
6.4%
1.7859
 
4.3%
2.3836
 
4.2%
2.05613
 
3.1%
1.6505
 
2.5%
1.95466
 
2.3%
Other values (107)4578
22.9%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.651
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.051
 
< 0.1%
1.117
0.1%
1.152
 
< 0.1%
1.230
0.1%
1.21
 
< 0.1%
1.254
 
< 0.1%
ValueCountFrequency (%)
8.41
< 0.1%
7.11
< 0.1%
6.351
< 0.1%
6.21
< 0.1%
5.71
< 0.1%
5.41
< 0.1%
5.31
< 0.1%
5.21
< 0.1%
5.151
< 0.1%
51
< 0.1%

Phosphate-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct125
Distinct (%)1.1%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.240825097
Minimum0.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:31.814817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.5
Q12.4
median3.1
Q33.8
95-th percentile5.5
Maximum12
Range11.4
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.282144642
Coefficient of variation (CV)0.3956229059
Kurtosis4.757043014
Mean3.240825097
Median Absolute Deviation (MAD)0.7
Skewness1.444106148
Sum37707
Variance1.643894884
MonotonicityNot monotonic
2021-11-29T11:33:31.919890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3459
 
2.3%
2.9454
 
2.3%
2.8443
 
2.2%
3.2436
 
2.2%
3.1433
 
2.2%
3.4429
 
2.1%
3.3427
 
2.1%
3.5417
 
2.1%
2.5414
 
2.1%
2.4413
 
2.1%
Other values (115)7310
36.5%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.625
 
0.1%
0.716
 
0.1%
0.832
 
0.2%
0.851
 
< 0.1%
0.919
 
0.1%
180
0.4%
1.143
0.2%
1.276
0.4%
1.381
0.4%
1.496
0.5%
ValueCountFrequency (%)
126
< 0.1%
11.81
 
< 0.1%
11.71
 
< 0.1%
11.61
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%
11.31
 
< 0.1%
11.21
 
< 0.1%
111
 
< 0.1%
10.91
 
< 0.1%

Phosphate-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct135
Distinct (%)1.2%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.807700902
Minimum0.6
Maximum15.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:32.020965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2.2
Q13
median3.6
Q34.3
95-th percentile6.3
Maximum15.5
Range14.9
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.357147494
Coefficient of variation (CV)0.3564217697
Kurtosis6.398993699
Mean3.807700902
Median Absolute Deviation (MAD)0.7
Skewness1.839090252
Sum44302.6
Variance1.841849321
MonotonicityNot monotonic
2021-11-29T11:33:32.124340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.4523
 
2.6%
3.5507
 
2.5%
3.3506
 
2.5%
3.2482
 
2.4%
3.6479
 
2.4%
3.8457
 
2.3%
3.1449
 
2.2%
3.7441
 
2.2%
2.9441
 
2.2%
3433
 
2.2%
Other values (125)6917
34.6%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.63
 
< 0.1%
0.72
 
< 0.1%
0.87
 
< 0.1%
0.92
 
< 0.1%
112
0.1%
1.15
 
< 0.1%
1.212
0.1%
1.319
0.1%
1.413
0.1%
1.527
0.1%
ValueCountFrequency (%)
15.51
 
< 0.1%
14.21
 
< 0.1%
12.71
 
< 0.1%
12.61
 
< 0.1%
12.22
 
< 0.1%
1214
0.1%
11.82
 
< 0.1%
11.63
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%

Phosphate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct823
Distinct (%)7.1%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.519953026
Minimum0.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:32.228734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q12.75
median3.3
Q34
95-th percentile5.85
Maximum12
Range11.4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.240452874
Coefficient of variation (CV)0.3524060876
Kurtosis5.718643859
Mean3.519953026
Median Absolute Deviation (MAD)0.6
Skewness1.737128628
Sum40954.65345
Variance1.538723333
MonotonicityNot monotonic
2021-11-29T11:33:32.428380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3354
 
1.8%
3.5350
 
1.8%
3.4347
 
1.7%
3.2337
 
1.7%
3.3321
 
1.6%
3.1315
 
1.6%
2.9314
 
1.6%
2.8287
 
1.4%
3.6279
 
1.4%
3.7271
 
1.4%
Other values (813)8460
42.3%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.63
 
< 0.1%
0.651
 
< 0.1%
0.71
 
< 0.1%
0.87
< 0.1%
0.852
 
< 0.1%
0.881
 
< 0.1%
0.91
 
< 0.1%
113
0.1%
1.0333333331
 
< 0.1%
1.16
< 0.1%
ValueCountFrequency (%)
126
< 0.1%
11.851
 
< 0.1%
11.81
 
< 0.1%
11.61
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%
11.31
 
< 0.1%
11.21
 
< 0.1%
11.133333331
 
< 0.1%
111
 
< 0.1%

Phosphate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct284
Distinct (%)2.4%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.51783627
Minimum0.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:32.526140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q12.75
median3.3
Q34
95-th percentile5.9
Maximum12
Range11.4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.251250763
Coefficient of variation (CV)0.3556876066
Kurtosis5.73622451
Mean3.51783627
Median Absolute Deviation (MAD)0.6
Skewness1.725705724
Sum40930.025
Variance1.565628473
MonotonicityNot monotonic
2021-11-29T11:33:32.629428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2407
 
2.0%
3.5395
 
2.0%
3394
 
2.0%
3.3392
 
2.0%
3.4390
 
1.9%
2.9368
 
1.8%
2.8364
 
1.8%
3.1351
 
1.8%
3.7328
 
1.6%
2.7327
 
1.6%
Other values (274)7919
39.6%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.64
 
< 0.1%
0.651
 
< 0.1%
0.72
 
< 0.1%
0.751
 
< 0.1%
0.87
< 0.1%
0.851
 
< 0.1%
0.92
 
< 0.1%
116
0.1%
1.110
0.1%
1.214
0.1%
ValueCountFrequency (%)
127
< 0.1%
11.851
 
< 0.1%
11.81
 
< 0.1%
11.61
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%
11.31
 
< 0.1%
11.21
 
< 0.1%
111
 
< 0.1%
10.91
 
< 0.1%

Potassium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct242
Distinct (%)1.3%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean3.804321879
Minimum1.3
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:32.732985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile3
Q13.5
median3.8
Q34.1
95-th percentile4.6
Maximum9.8
Range8.5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.5139251116
Coefficient of variation (CV)0.1350898079
Kurtosis6.429641893
Mean3.804321879
Median Absolute Deviation (MAD)0.3
Skewness0.8362609904
Sum70631.04
Variance0.2641190203
MonotonicityNot monotonic
2021-11-29T11:33:32.831643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.81666
 
8.3%
3.71662
 
8.3%
3.91571
 
7.9%
3.61537
 
7.7%
41320
 
6.6%
3.51269
 
6.3%
4.11140
 
5.7%
3.41070
 
5.3%
4.2872
 
4.4%
3.3858
 
4.3%
Other values (232)5601
28.0%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
1.33
 
< 0.1%
1.42
 
< 0.1%
1.51
 
< 0.1%
1.72
 
< 0.1%
1.81
 
< 0.1%
1.95
 
< 0.1%
27
< 0.1%
2.16
 
< 0.1%
2.215
0.1%
2.317
0.1%
ValueCountFrequency (%)
9.81
 
< 0.1%
9.42
< 0.1%
9.22
< 0.1%
8.21
 
< 0.1%
7.81
 
< 0.1%
7.63
< 0.1%
7.491
 
< 0.1%
7.42
< 0.1%
7.21
 
< 0.1%
7.11
 
< 0.1%

Potassium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct278
Distinct (%)1.5%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.325710438
Minimum2.3
Maximum15.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:32.930548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.5
Q13.9
median4.2
Q34.6
95-th percentile5.5
Maximum15.8
Range13.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.72341582
Coefficient of variation (CV)0.1672363026
Kurtosis15.19444244
Mean4.325710438
Median Absolute Deviation (MAD)0.3
Skewness2.574320567
Sum80311.14
Variance0.5233304487
MonotonicityNot monotonic
2021-11-29T11:33:33.040398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41564
 
7.8%
4.11526
 
7.6%
4.21444
 
7.2%
4.31291
 
6.5%
3.91270
 
6.3%
4.41155
 
5.8%
3.81118
 
5.6%
4.5926
 
4.6%
3.7864
 
4.3%
4.6797
 
4.0%
Other values (268)6611
33.1%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
2.31
 
< 0.1%
2.41
 
< 0.1%
2.53
 
< 0.1%
2.65
 
< 0.1%
2.77
 
< 0.1%
2.811
 
0.1%
2.919
 
0.1%
345
0.2%
3.186
0.4%
3.297
0.5%
ValueCountFrequency (%)
15.81
 
< 0.1%
11.81
 
< 0.1%
11.52
< 0.1%
10.82
< 0.1%
10.751
 
< 0.1%
10.63
< 0.1%
10.42
< 0.1%
10.21
 
< 0.1%
101
 
< 0.1%
9.84
< 0.1%

Potassium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2065
Distinct (%)11.1%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.053526956
Minimum1.825
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:33.148425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.825
5-th percentile3.366666667
Q13.75
median4
Q34.3
95-th percentile4.928961039
Maximum9.8
Range7.975
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.5033147111
Coefficient of variation (CV)0.124167106
Kurtosis7.23620474
Mean4.053526956
Median Absolute Deviation (MAD)0.2872115385
Skewness1.397132282
Sum75257.78146
Variance0.2533256984
MonotonicityNot monotonic
2021-11-29T11:33:33.252037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4966
 
4.8%
3.9857
 
4.3%
3.8768
 
3.8%
4.1765
 
3.8%
3.7645
 
3.2%
4.2562
 
2.8%
3.6542
 
2.7%
4.3474
 
2.4%
3.5436
 
2.2%
4.4383
 
1.9%
Other values (2055)12168
60.8%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
1.8251
 
< 0.1%
2.33
< 0.1%
2.3251
 
< 0.1%
2.41
 
< 0.1%
2.481
 
< 0.1%
2.52
< 0.1%
2.5333333331
 
< 0.1%
2.553
< 0.1%
2.5666666671
 
< 0.1%
2.63
< 0.1%
ValueCountFrequency (%)
9.81
 
< 0.1%
9.42
< 0.1%
9.22
< 0.1%
8.4751
 
< 0.1%
8.21
 
< 0.1%
7.91
 
< 0.1%
7.81
 
< 0.1%
7.63
< 0.1%
7.5951
 
< 0.1%
7.41
 
< 0.1%

Potassium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct451
Distinct (%)2.4%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.045369493
Minimum1.575
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:33.359740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.575
5-th percentile3.35
Q13.7
median4
Q34.3
95-th percentile4.9
Maximum9.8
Range8.225
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.5023039386
Coefficient of variation (CV)0.1241676291
Kurtosis6.93451772
Mean4.045369493
Median Absolute Deviation (MAD)0.3
Skewness1.326775252
Sum75106.33
Variance0.2523092467
MonotonicityNot monotonic
2021-11-29T11:33:33.456017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41399
 
7.0%
3.91289
 
6.4%
3.81273
 
6.4%
4.11258
 
6.3%
3.71095
 
5.5%
4.2881
 
4.4%
3.6803
 
4.0%
4.3720
 
3.6%
4.4645
 
3.2%
3.5613
 
3.1%
Other values (441)8590
43.0%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
1.5751
 
< 0.1%
2.252
 
< 0.1%
2.32
 
< 0.1%
2.351
 
< 0.1%
2.41
 
< 0.1%
2.57
< 0.1%
2.552
 
< 0.1%
2.68
< 0.1%
2.651
 
< 0.1%
2.712
0.1%
ValueCountFrequency (%)
9.81
 
< 0.1%
9.42
< 0.1%
9.22
< 0.1%
8.21
 
< 0.1%
7.91
 
< 0.1%
7.81
 
< 0.1%
7.63
< 0.1%
7.5951
 
< 0.1%
7.41
 
< 0.1%
7.351
 
< 0.1%

Bilirubin_total-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct170
Distinct (%)2.0%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.146815287
Minimum0.1
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:33.554292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.7
Q31.1
95-th percentile2.9
Maximum49.2
Range49.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation2.09573636
Coefficient of variation (CV)1.827440203
Kurtosis138.5951719
Mean1.146815287
Median Absolute Deviation (MAD)0.3
Skewness10.10737183
Sum9722.7
Variance4.39211089
MonotonicityNot monotonic
2021-11-29T11:33:33.655623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6946
 
4.7%
0.5943
 
4.7%
0.4869
 
4.3%
0.7836
 
4.2%
0.8701
 
3.5%
0.9539
 
2.7%
0.3516
 
2.6%
1466
 
2.3%
1.1347
 
1.7%
1.2260
 
1.3%
Other values (160)2055
 
10.3%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.154
 
0.3%
0.151
 
< 0.1%
0.2219
 
1.1%
0.252
 
< 0.1%
0.3516
2.6%
0.352
 
< 0.1%
0.4869
4.3%
0.452
 
< 0.1%
0.5943
4.7%
0.552
 
< 0.1%
ValueCountFrequency (%)
49.21
< 0.1%
40.32
< 0.1%
36.21
< 0.1%
34.61
< 0.1%
34.31
< 0.1%
29.41
< 0.1%
29.31
< 0.1%
28.21
< 0.1%
27.21
< 0.1%
271
< 0.1%

Bilirubin_total-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct198
Distinct (%)2.3%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.372605567
Minimum0.1
Maximum49.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:33.754644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.6
median0.8
Q31.3
95-th percentile3.6
Maximum49.6
Range49.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.636673757
Coefficient of variation (CV)1.920926025
Kurtosis112.3733259
Mean1.372605567
Median Absolute Deviation (MAD)0.3
Skewness9.205650692
Sum11636.95
Variance6.952048501
MonotonicityNot monotonic
2021-11-29T11:33:33.854763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6851
 
4.3%
0.5828
 
4.1%
0.7823
 
4.1%
0.8698
 
3.5%
0.4686
 
3.4%
0.9599
 
3.0%
1499
 
2.5%
1.1384
 
1.9%
0.3376
 
1.9%
1.2319
 
1.6%
Other values (188)2415
 
12.1%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.130
 
0.1%
0.151
 
< 0.1%
0.2147
 
0.7%
0.251
 
< 0.1%
0.3376
1.9%
0.352
 
< 0.1%
0.4686
3.4%
0.451
 
< 0.1%
0.5828
4.1%
0.551
 
< 0.1%
ValueCountFrequency (%)
49.62
< 0.1%
49.21
< 0.1%
45.31
< 0.1%
42.91
< 0.1%
40.91
< 0.1%
38.81
< 0.1%
37.51
< 0.1%
36.51
< 0.1%
34.71
< 0.1%
341
< 0.1%

Bilirubin_total-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct556
Distinct (%)6.6%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.254390975
Minimum0.1
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:33.952164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.8
Q31.2
95-th percentile3.121964286
Maximum49.2
Range49.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.316173178
Coefficient of variation (CV)1.846452361
Kurtosis121.4421744
Mean1.254390975
Median Absolute Deviation (MAD)0.3
Skewness9.514188877
Sum10634.72669
Variance5.364658191
MonotonicityNot monotonic
2021-11-29T11:33:34.152653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6739
 
3.7%
0.5734
 
3.7%
0.7688
 
3.4%
0.4653
 
3.3%
0.8561
 
2.8%
0.9470
 
2.4%
1379
 
1.9%
0.3359
 
1.8%
1.1281
 
1.4%
1.2219
 
1.1%
Other values (546)3395
 
17.0%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.130
 
0.1%
0.13333333331
 
< 0.1%
0.151
 
< 0.1%
0.152
 
< 0.1%
0.21
 
< 0.1%
0.2150
0.8%
0.23333333331
 
< 0.1%
0.2519
 
0.1%
0.26666666672
 
< 0.1%
0.2751
 
< 0.1%
ValueCountFrequency (%)
49.21
< 0.1%
45.433333331
< 0.1%
41.61
< 0.1%
39.241
< 0.1%
36.851
< 0.1%
35.51
< 0.1%
35.41
< 0.1%
34.651
< 0.1%
30.9251
< 0.1%
29.41
< 0.1%

Bilirubin_total-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct286
Distinct (%)3.4%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.249097665
Minimum0.1
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:34.251702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.8
Q31.2
95-th percentile3.1
Maximum49.2
Range49.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.329118511
Coefficient of variation (CV)1.864640834
Kurtosis126.2752191
Mean1.249097665
Median Absolute Deviation (MAD)0.3
Skewness9.704517087
Sum10589.85
Variance5.42479304
MonotonicityNot monotonic
2021-11-29T11:33:34.354628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6794
 
4.0%
0.5779
 
3.9%
0.7760
 
3.8%
0.4693
 
3.5%
0.8623
 
3.1%
0.9504
 
2.5%
1409
 
2.0%
0.3374
 
1.9%
1.1320
 
1.6%
1.2254
 
1.3%
Other values (276)2968
 
14.8%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.132
 
0.2%
0.151
 
< 0.1%
0.152
 
< 0.1%
0.2153
 
0.8%
0.2519
 
0.1%
0.3374
1.9%
0.314
 
0.1%
0.3553
 
0.3%
0.4693
3.5%
0.4251
 
< 0.1%
ValueCountFrequency (%)
49.21
< 0.1%
46.41
< 0.1%
43.31
< 0.1%
41.61
< 0.1%
36.851
< 0.1%
36.451
< 0.1%
35.41
< 0.1%
34.651
< 0.1%
31.21
< 0.1%
30.21
< 0.1%

TroponinI-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct972
Distinct (%)14.8%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean3.581375686
Minimum0.01
Maximum349.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:34.455642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.02
median0.06
Q30.56
95-th percentile21.1825
Maximum349.05
Range349.04
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation14.32076588
Coefficient of variation (CV)3.998677362
Kurtosis117.394797
Mean3.581375686
Median Absolute Deviation (MAD)0.05
Skewness8.817558162
Sum23508.15
Variance205.0843353
MonotonicityNot monotonic
2021-11-29T11:33:34.553784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011342
 
6.7%
0.03894
 
4.5%
0.04334
 
1.7%
0.02332
 
1.7%
0.05215
 
1.1%
0.06188
 
0.9%
0.07160
 
0.8%
0.08126
 
0.6%
0.09111
 
0.6%
0.192
 
0.5%
Other values (962)2770
 
13.9%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011342
6.7%
0.02332
 
1.7%
0.03894
4.5%
0.04334
 
1.7%
0.05215
 
1.1%
0.06188
 
0.9%
0.07160
 
0.8%
0.08126
 
0.6%
0.09111
 
0.6%
0.192
 
0.5%
ValueCountFrequency (%)
349.051
 
< 0.1%
219.621
 
< 0.1%
2005
< 0.1%
180.081
 
< 0.1%
1671
 
< 0.1%
164.531
 
< 0.1%
155.651
 
< 0.1%
153.341
 
< 0.1%
151.831
 
< 0.1%
149.341
 
< 0.1%

TroponinI-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1143
Distinct (%)17.4%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean6.66932663
Minimum0.01
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:34.660097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.03
median0.09
Q31
95-th percentile40
Maximum440
Range439.99
Interquartile range (IQR)0.97

Descriptive statistics

Standard deviation25.55908401
Coefficient of variation (CV)3.832333522
Kurtosis72.44230041
Mean6.66932663
Median Absolute Deviation (MAD)0.08
Skewness7.321145882
Sum43777.46
Variance653.2667757
MonotonicityNot monotonic
2021-11-29T11:33:34.756785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011209
 
6.0%
0.03818
 
4.1%
0.02346
 
1.7%
0.04273
 
1.4%
0.05187
 
0.9%
0.06167
 
0.8%
0.07163
 
0.8%
0.08115
 
0.6%
0.1109
 
0.5%
0.0999
 
0.5%
Other values (1133)3078
 
15.4%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011209
6.0%
0.02346
 
1.7%
0.03818
4.1%
0.04273
 
1.4%
0.05187
 
0.9%
0.06167
 
0.8%
0.07163
 
0.8%
0.08115
 
0.6%
0.0999
 
0.5%
0.1109
 
0.5%
ValueCountFrequency (%)
4402
 
< 0.1%
394.031
 
< 0.1%
381.61
 
< 0.1%
325.311
 
< 0.1%
271.61
 
< 0.1%
243.811
 
< 0.1%
235.881
 
< 0.1%
226.781
 
< 0.1%
20034
0.2%
199.411
 
< 0.1%

TroponinI-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1916
Distinct (%)29.2%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean5.111238634
Minimum0.01
Maximum409.6833333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:34.859173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.03
median0.08
Q30.8
95-th percentile31.83739286
Maximum409.6833333
Range409.6733333
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation19.08923165
Coefficient of variation (CV)3.734756488
Kurtosis77.5875291
Mean5.111238634
Median Absolute Deviation (MAD)0.07
Skewness7.324340532
Sum33550.17039
Variance364.3987648
MonotonicityNot monotonic
2021-11-29T11:33:34.954683image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011209
 
6.0%
0.03775
 
3.9%
0.02275
 
1.4%
0.04237
 
1.2%
0.05135
 
0.7%
0.07113
 
0.6%
0.06113
 
0.6%
0.0878
 
0.4%
0.0974
 
0.4%
0.156
 
0.3%
Other values (1906)3499
 
17.5%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011209
6.0%
0.011428571431
 
< 0.1%
0.0124
 
< 0.1%
0.01251
 
< 0.1%
0.0133333333315
 
0.1%
0.0142
 
< 0.1%
0.01554
 
0.3%
0.016666666679
 
< 0.1%
0.017142857141
 
< 0.1%
0.01751
 
< 0.1%
ValueCountFrequency (%)
409.68333331
 
< 0.1%
298.831
 
< 0.1%
219.2851
 
< 0.1%
2005
< 0.1%
187.85333331
 
< 0.1%
187.85251
 
< 0.1%
183.51
 
< 0.1%
181.66333331
 
< 0.1%
180.081
 
< 0.1%
177.63251
 
< 0.1%

TroponinI-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1372
Distinct (%)20.9%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean5.093911487
Minimum0.01
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:35.058454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.03
median0.075
Q30.8
95-th percentile32.0455
Maximum440
Range439.99
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation19.44571104
Coefficient of variation (CV)3.81744188
Kurtosis88.01086808
Mean5.093911487
Median Absolute Deviation (MAD)0.065
Skewness7.757148428
Sum33436.435
Variance378.135678
MonotonicityNot monotonic
2021-11-29T11:33:35.156283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011238
 
6.2%
0.03805
 
4.0%
0.02290
 
1.5%
0.04256
 
1.3%
0.05176
 
0.9%
0.06144
 
0.7%
0.07134
 
0.7%
0.08100
 
0.5%
0.0995
 
0.5%
0.181
 
0.4%
Other values (1362)3245
 
16.2%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011238
6.2%
0.01552
 
0.3%
0.02290
 
1.5%
0.02533
 
0.2%
0.03805
4.0%
0.033
 
< 0.1%
0.0351
 
< 0.1%
0.03527
 
0.1%
0.04256
 
1.3%
0.04536
 
0.2%
ValueCountFrequency (%)
4401
 
< 0.1%
297.051
 
< 0.1%
20012
0.1%
199.531
 
< 0.1%
194.0951
 
< 0.1%
193.441
 
< 0.1%
190.041
 
< 0.1%
185.2151
 
< 0.1%
183.51
 
< 0.1%
180.081
 
< 0.1%

Hct-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct436
Distinct (%)2.4%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean31.26301213
Minimum9.1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:35.255132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.1
5-th percentile20.4
Q126.2
median31.3
Q336.2
95-th percentile42.2
Maximum65
Range55.9
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.804708332
Coefficient of variation (CV)0.2176600355
Kurtosis-0.3645388506
Mean31.26301213
Median Absolute Deviation (MAD)5
Skewness0.08356011901
Sum564203.58
Variance46.30405548
MonotonicityNot monotonic
2021-11-29T11:33:35.347566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33113
 
0.6%
34111
 
0.6%
32.4110
 
0.5%
32.9109
 
0.5%
37.3105
 
0.5%
27104
 
0.5%
34.3104
 
0.5%
30.1103
 
0.5%
29103
 
0.5%
24103
 
0.5%
Other values (426)16982
84.9%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.11
< 0.1%
9.31
< 0.1%
9.61
< 0.1%
10.71
< 0.1%
10.81
< 0.1%
11.51
< 0.1%
11.61
< 0.1%
12.41
< 0.1%
12.62
< 0.1%
12.72
< 0.1%
ValueCountFrequency (%)
651
< 0.1%
63.41
< 0.1%
63.21
< 0.1%
58.81
< 0.1%
57.71
< 0.1%
56.11
< 0.1%
55.61
< 0.1%
55.31
< 0.1%
55.21
< 0.1%
54.91
< 0.1%

Hct-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct398
Distinct (%)2.2%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean33.73967031
Minimum9.3
Maximum70.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:35.445885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile24.5
Q129.1
median33.4
Q337.9
95-th percentile43.9
Maximum70.2
Range60.9
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation6.042713362
Coefficient of variation (CV)0.1790981746
Kurtosis-0.04736581214
Mean33.73967031
Median Absolute Deviation (MAD)4.4
Skewness0.3138012684
Sum608899.83
Variance36.51438478
MonotonicityNot monotonic
2021-11-29T11:33:35.542676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34138
 
0.7%
36.1125
 
0.6%
33125
 
0.6%
29.1124
 
0.6%
34.6124
 
0.6%
33.4121
 
0.6%
32.1118
 
0.6%
33.5117
 
0.6%
29117
 
0.6%
35116
 
0.6%
Other values (388)16822
84.1%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.31
 
< 0.1%
13.31
 
< 0.1%
14.41
 
< 0.1%
14.61
 
< 0.1%
15.51
 
< 0.1%
161
 
< 0.1%
16.71
 
< 0.1%
16.91
 
< 0.1%
17.41
 
< 0.1%
18.13
< 0.1%
ValueCountFrequency (%)
70.21
 
< 0.1%
653
< 0.1%
621
 
< 0.1%
61.21
 
< 0.1%
60.21
 
< 0.1%
59.11
 
< 0.1%
591
 
< 0.1%
581
 
< 0.1%
57.41
 
< 0.1%
57.31
 
< 0.1%

Hct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2935
Distinct (%)16.3%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean32.49811369
Minimum9.3
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:35.645193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile23.13333333
Q127.63333333
median32.3
Q336.95
95-th percentile42.9
Maximum65
Range55.7
Interquartile range (IQR)9.316666667

Descriptive statistics

Standard deviation6.18521518
Coefficient of variation (CV)0.1903253598
Kurtosis-0.2909080435
Mean32.49811369
Median Absolute Deviation (MAD)4.65
Skewness0.2744730185
Sum586493.4577
Variance38.25688683
MonotonicityNot monotonic
2021-11-29T11:33:35.837664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.582
 
0.4%
3478
 
0.4%
35.572
 
0.4%
3570
 
0.4%
29.570
 
0.4%
33.369
 
0.3%
34.668
 
0.3%
3767
 
0.3%
3366
 
0.3%
34.266
 
0.3%
Other values (2925)17339
86.7%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.31
< 0.1%
12.61
< 0.1%
13.31
< 0.1%
13.551
< 0.1%
14.61
< 0.1%
15.51
< 0.1%
161
< 0.1%
16.71
< 0.1%
16.933333331
< 0.1%
17.251
< 0.1%
ValueCountFrequency (%)
651
< 0.1%
64.21
< 0.1%
64.11
< 0.1%
59.851
< 0.1%
59.81
< 0.1%
58.151
< 0.1%
57.166666671
< 0.1%
56.31
< 0.1%
55.7251
< 0.1%
55.61
< 0.1%

Hct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct917
Distinct (%)5.1%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean32.49576135
Minimum9.3
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:35.937703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile23.1
Q127.65
median32.3
Q336.95
95-th percentile42.885
Maximum65
Range55.7
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.19351436
Coefficient of variation (CV)0.19059453
Kurtosis-0.2796348538
Mean32.49576135
Median Absolute Deviation (MAD)4.65
Skewness0.2665834415
Sum586451.005
Variance38.35962013
MonotonicityNot monotonic
2021-11-29T11:33:36.031285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35103
 
0.5%
33.5101
 
0.5%
3496
 
0.5%
35.595
 
0.5%
33.386
 
0.4%
29.686
 
0.4%
34.285
 
0.4%
33.285
 
0.4%
31.585
 
0.4%
30.184
 
0.4%
Other values (907)17141
85.7%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.31
< 0.1%
11.31
< 0.1%
13.31
< 0.1%
13.551
< 0.1%
14.61
< 0.1%
15.51
< 0.1%
15.751
< 0.1%
161
< 0.1%
16.31
< 0.1%
16.61
< 0.1%
ValueCountFrequency (%)
651
< 0.1%
64.21
< 0.1%
64.11
< 0.1%
59.851
< 0.1%
59.61
< 0.1%
58.151
< 0.1%
57.11
< 0.1%
56.31
< 0.1%
55.61
< 0.1%
55.21
< 0.1%

Hgb-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct216
Distinct (%)1.2%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean10.23865829
Minimum2.3
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:36.130183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile6.7
Q18.5
median10.2
Q311.9
95-th percentile14.1
Maximum26.6
Range24.3
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.330054737
Coefficient of variation (CV)0.2275742262
Kurtosis0.09243264671
Mean10.23865829
Median Absolute Deviation (MAD)1.7
Skewness0.2868288395
Sum184899.93
Variance5.429155078
MonotonicityNot monotonic
2021-11-29T11:33:36.231104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9298
 
1.5%
10.5297
 
1.5%
9.1285
 
1.4%
10.9284
 
1.4%
9283
 
1.4%
10.7280
 
1.4%
10.3279
 
1.4%
9.2278
 
1.4%
11.3277
 
1.4%
9.4275
 
1.4%
Other values (206)15223
76.1%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.31
 
< 0.1%
2.61
 
< 0.1%
2.81
 
< 0.1%
2.91
 
< 0.1%
31
 
< 0.1%
3.62
< 0.1%
3.72
< 0.1%
3.83
< 0.1%
3.91
 
< 0.1%
43
< 0.1%
ValueCountFrequency (%)
26.61
< 0.1%
24.82
< 0.1%
23.81
< 0.1%
23.41
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%
20.61
< 0.1%
20.31
< 0.1%
19.61
< 0.1%

Hgb-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct207
Distinct (%)1.1%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean11.11210089
Minimum2.6
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:36.330583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile8
Q19.5
median10.9
Q312.5
95-th percentile14.8
Maximum30
Range27.4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.168950085
Coefficient of variation (CV)0.1951881203
Kurtosis1.340921459
Mean11.11210089
Median Absolute Deviation (MAD)1.5
Skewness0.6569832784
Sum200673.43
Variance4.704344473
MonotonicityNot monotonic
2021-11-29T11:33:36.426283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1333
 
1.7%
10.8332
 
1.7%
11.3326
 
1.6%
10.5321
 
1.6%
9.2320
 
1.6%
10.7316
 
1.6%
11.2316
 
1.6%
10.9315
 
1.6%
11.7312
 
1.6%
10.2312
 
1.6%
Other values (197)14856
74.3%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.61
< 0.1%
41
< 0.1%
4.31
< 0.1%
4.51
< 0.1%
4.81
< 0.1%
4.91
< 0.1%
5.11
< 0.1%
5.51
< 0.1%
5.62
< 0.1%
5.71
< 0.1%
ValueCountFrequency (%)
301
 
< 0.1%
26.61
 
< 0.1%
251
 
< 0.1%
24.82
< 0.1%
241
 
< 0.1%
23.82
< 0.1%
23.63
< 0.1%
23.41
 
< 0.1%
23.21
 
< 0.1%
22.41
 
< 0.1%

Hgb-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1676
Distinct (%)9.3%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean10.67069996
Minimum2.6
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:36.525325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile7.55
Q18.981666667
median10.5
Q312.2
95-th percentile14.4
Maximum26.6
Range24
Interquartile range (IQR)3.218333333

Descriptive statistics

Standard deviation2.145317107
Coefficient of variation (CV)0.2010474585
Kurtosis0.3100678804
Mean10.67069996
Median Absolute Deviation (MAD)1.6
Skewness0.4759499628
Sum192702.1706
Variance4.602385491
MonotonicityNot monotonic
2021-11-29T11:33:36.625160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3199
 
1.0%
10.5189
 
0.9%
11.2182
 
0.9%
11181
 
0.9%
10.6173
 
0.9%
9.5172
 
0.9%
11.8171
 
0.9%
11.7169
 
0.8%
11.5165
 
0.8%
10.9165
 
0.8%
Other values (1666)16293
81.5%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.61
< 0.1%
41
< 0.1%
4.31
< 0.1%
4.51
< 0.1%
4.81
< 0.1%
4.91
< 0.1%
51
< 0.1%
5.11
< 0.1%
5.1333333331
< 0.1%
5.2333333331
< 0.1%
ValueCountFrequency (%)
26.61
< 0.1%
24.82
< 0.1%
23.81
< 0.1%
23.51
< 0.1%
22.51
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%
20.61
< 0.1%
20.551
< 0.1%

Hgb-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct398
Distinct (%)2.2%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean10.6649042
Minimum2.6
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:36.722961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile7.55
Q19
median10.5
Q312.15
95-th percentile14.4
Maximum26.6
Range24
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.147157958
Coefficient of variation (CV)0.2013293244
Kurtosis0.3215379227
Mean10.6649042
Median Absolute Deviation (MAD)1.6
Skewness0.4779463755
Sum192597.505
Variance4.610287296
MonotonicityNot monotonic
2021-11-29T11:33:36.823879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3259
 
1.3%
10.8247
 
1.2%
9.3246
 
1.2%
10.5232
 
1.2%
9.5231
 
1.2%
9.2231
 
1.2%
8.5230
 
1.1%
10.6227
 
1.1%
11226
 
1.1%
10.3226
 
1.1%
Other values (388)15704
78.5%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.61
< 0.1%
41
< 0.1%
4.31
< 0.1%
4.51
< 0.1%
4.81
< 0.1%
4.91
< 0.1%
51
< 0.1%
5.11
< 0.1%
5.22
< 0.1%
5.351
< 0.1%
ValueCountFrequency (%)
26.61
< 0.1%
24.82
< 0.1%
23.81
< 0.1%
23.51
< 0.1%
22.51
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%
20.61
< 0.1%
20.551
< 0.1%

PTT-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct566
Distinct (%)12.9%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean35.85675307
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:36.921191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23.3
Q127.4
median30.5
Q335.3
95-th percentile62.5
Maximum250
Range230
Interquartile range (IQR)7.9

Descriptive statistics

Standard deviation22.81357629
Coefficient of variation (CV)0.6362421116
Kurtosis43.9425364
Mean35.85675307
Median Absolute Deviation (MAD)3.6
Skewness5.941973984
Sum157698
Variance520.459263
MonotonicityNot monotonic
2021-11-29T11:33:37.021224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.346
 
0.2%
2845
 
0.2%
29.645
 
0.2%
30.745
 
0.2%
3044
 
0.2%
30.843
 
0.2%
30.443
 
0.2%
27.440
 
0.2%
31.340
 
0.2%
31.739
 
0.2%
Other values (556)3968
 
19.8%
(Missing)15602
78.0%
ValueCountFrequency (%)
2038
0.2%
20.15
 
< 0.1%
20.32
 
< 0.1%
20.43
 
< 0.1%
20.53
 
< 0.1%
20.64
 
< 0.1%
20.71
 
< 0.1%
20.83
 
< 0.1%
20.97
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
2503
 
< 0.1%
249.94
 
< 0.1%
24912
0.1%
237.51
 
< 0.1%
216.51
 
< 0.1%
212.31
 
< 0.1%
204.91
 
< 0.1%
200.81
 
< 0.1%
196.81
 
< 0.1%
195.51
 
< 0.1%

PTT-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct747
Distinct (%)17.0%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean44.49657799
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:37.118438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.2
Q128.4
median32
Q340.3
95-th percentile119.7125
Maximum250
Range230
Interquartile range (IQR)11.9

Descriptive statistics

Standard deviation39.26047598
Coefficient of variation (CV)0.8823257372
Kurtosis15.02148047
Mean44.49657799
Median Absolute Deviation (MAD)4.7
Skewness3.779902636
Sum195695.95
Variance1541.384974
MonotonicityNot monotonic
2021-11-29T11:33:37.217584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24956
 
0.3%
28.941
 
0.2%
28.839
 
0.2%
30.838
 
0.2%
2836
 
0.2%
27.336
 
0.2%
30.736
 
0.2%
28.636
 
0.2%
29.735
 
0.2%
31.335
 
0.2%
Other values (737)4010
 
20.1%
(Missing)15602
78.0%
ValueCountFrequency (%)
2021
0.1%
20.13
 
< 0.1%
20.31
 
< 0.1%
20.43
 
< 0.1%
20.52
 
< 0.1%
20.62
 
< 0.1%
20.71
 
< 0.1%
20.83
 
< 0.1%
20.95
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
25010
 
0.1%
249.913
 
0.1%
24956
0.3%
248.71
 
< 0.1%
2481
 
< 0.1%
247.51
 
< 0.1%
2472
 
< 0.1%
246.81
 
< 0.1%
238.11
 
< 0.1%
237.51
 
< 0.1%

PTT-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1291
Distinct (%)29.4%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean39.51081585
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:37.313697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q128.1
median31.56071429
Q338.2
95-th percentile84.2
Maximum250
Range230
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation26.94099795
Coefficient of variation (CV)0.6818638737
Kurtosis24.01269074
Mean39.51081585
Median Absolute Deviation (MAD)4.260714286
Skewness4.399903085
Sum173768.5681
Variance725.8173705
MonotonicityNot monotonic
2021-11-29T11:33:37.511388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2837
 
0.2%
30.735
 
0.2%
27.335
 
0.2%
28.634
 
0.2%
28.934
 
0.2%
28.733
 
0.2%
29.533
 
0.2%
28.533
 
0.2%
30.432
 
0.2%
28.831
 
0.2%
Other values (1281)4061
 
20.3%
(Missing)15602
78.0%
ValueCountFrequency (%)
2021
0.1%
20.13
 
< 0.1%
20.31
 
< 0.1%
20.43
 
< 0.1%
20.52
 
< 0.1%
20.62
 
< 0.1%
20.71
 
< 0.1%
20.84
 
< 0.1%
20.95
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
2503
 
< 0.1%
249.94
 
< 0.1%
24912
0.1%
237.51
 
< 0.1%
234.351
 
< 0.1%
212.71666671
 
< 0.1%
212.31
 
< 0.1%
2061
 
< 0.1%
204.91
 
< 0.1%
203.41251
 
< 0.1%

PTT-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct925
Distinct (%)21.0%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean38.87937131
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:37.607437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q128.05
median31.4125
Q337.6
95-th percentile79.765
Maximum250
Range230
Interquartile range (IQR)9.55

Descriptive statistics

Standard deviation26.84004152
Coefficient of variation (CV)0.6903414489
Kurtosis28.13037137
Mean38.87937131
Median Absolute Deviation (MAD)4.1125
Skewness4.797294311
Sum170991.475
Variance720.3878287
MonotonicityNot monotonic
2021-11-29T11:33:37.706625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.938
 
0.2%
28.637
 
0.2%
27.337
 
0.2%
30.436
 
0.2%
30.835
 
0.2%
30.735
 
0.2%
2835
 
0.2%
29.535
 
0.2%
28.834
 
0.2%
29.634
 
0.2%
Other values (915)4042
 
20.2%
(Missing)15602
78.0%
ValueCountFrequency (%)
2021
0.1%
20.13
 
< 0.1%
20.31
 
< 0.1%
20.43
 
< 0.1%
20.52
 
< 0.1%
20.62
 
< 0.1%
20.71
 
< 0.1%
20.84
 
< 0.1%
20.96
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
2503
 
< 0.1%
249.95
 
< 0.1%
24916
0.1%
237.51
 
< 0.1%
235.51
 
< 0.1%
224.41
 
< 0.1%
212.31
 
< 0.1%
210.61
 
< 0.1%
2061
 
< 0.1%
204.91
 
< 0.1%

WBC-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct405
Distinct (%)2.2%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean9.320386667
Minimum0.1
Maximum296.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:37.807281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile3.9
Q16.3
median8.5
Q311.2
95-th percentile16.9
Maximum296.1
Range296
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation5.69375804
Coefficient of variation (CV)0.6108929
Kurtosis491.5408061
Mean9.320386667
Median Absolute Deviation (MAD)2.4
Skewness13.90233237
Sum167766.96
Variance32.41888062
MonotonicityNot monotonic
2021-11-29T11:33:37.902595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2250
 
1.2%
7239
 
1.2%
7.4238
 
1.2%
8.6232
 
1.2%
7.6230
 
1.1%
7.8229
 
1.1%
8224
 
1.1%
6222
 
1.1%
6.4222
 
1.1%
8.2219
 
1.1%
Other values (395)15695
78.5%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.112
0.1%
0.24
 
< 0.1%
0.33
 
< 0.1%
0.45
< 0.1%
0.52
 
< 0.1%
0.64
 
< 0.1%
0.75
< 0.1%
0.82
 
< 0.1%
0.93
 
< 0.1%
15
< 0.1%
ValueCountFrequency (%)
296.11
< 0.1%
152.91
< 0.1%
150.61
< 0.1%
144.91
< 0.1%
142.21
< 0.1%
140.41
< 0.1%
137.71
< 0.1%
119.51
< 0.1%
1181
< 0.1%
104.11
< 0.1%

WBC-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct481
Distinct (%)2.7%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean11.40393778
Minimum0.1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:38.006148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.6
Q17.5
median10.2
Q313.7
95-th percentile21.3
Maximum440
Range439.9
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation8.307665789
Coefficient of variation (CV)0.7284909783
Kurtosis747.5277041
Mean11.40393778
Median Absolute Deviation (MAD)3
Skewness19.03370792
Sum205270.88
Variance69.01731086
MonotonicityNot monotonic
2021-11-29T11:33:38.099254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6202
 
1.0%
8.2196
 
1.0%
8.8195
 
1.0%
7.4194
 
1.0%
8186
 
0.9%
10186
 
0.9%
7.8186
 
0.9%
9.4183
 
0.9%
9.2180
 
0.9%
10.4180
 
0.9%
Other values (471)16112
80.6%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.19
< 0.1%
0.23
 
< 0.1%
0.33
 
< 0.1%
0.45
< 0.1%
0.52
 
< 0.1%
0.63
 
< 0.1%
0.81
 
< 0.1%
0.93
 
< 0.1%
11
 
< 0.1%
1.12
 
< 0.1%
ValueCountFrequency (%)
4401
< 0.1%
3871
< 0.1%
2511
< 0.1%
215.31
< 0.1%
199.21
< 0.1%
182.61
< 0.1%
169.71
< 0.1%
166.21
< 0.1%
152.91
< 0.1%
144.91
< 0.1%

WBC-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2359
Distinct (%)13.1%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean10.31449188
Minimum0.1
Maximum328.3666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:38.197280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.4
Q17.05
median9.45
Q312.35
95-th percentile18.5
Maximum328.3666667
Range328.2666667
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation6.47318033
Coefficient of variation (CV)0.6275811167
Kurtosis495.4497009
Mean10.31449188
Median Absolute Deviation (MAD)2.616666667
Skewness14.65031786
Sum185660.8538
Variance41.90206358
MonotonicityNot monotonic
2021-11-29T11:33:38.292496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8135
 
0.7%
7.4124
 
0.6%
7120
 
0.6%
7.5118
 
0.6%
8.2117
 
0.6%
7.6117
 
0.6%
9.4116
 
0.6%
7.2116
 
0.6%
8116
 
0.6%
8.6116
 
0.6%
Other values (2349)16805
84.0%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.16
< 0.1%
0.13
< 0.1%
0.16666666671
 
< 0.1%
0.22
 
< 0.1%
0.33
< 0.1%
0.31
 
< 0.1%
0.45
< 0.1%
0.43333333331
 
< 0.1%
0.51
 
< 0.1%
0.62
 
< 0.1%
ValueCountFrequency (%)
328.36666671
< 0.1%
200.81
< 0.1%
186.1251
< 0.1%
168.121
< 0.1%
163.561
< 0.1%
152.91
< 0.1%
144.91
< 0.1%
142.21
< 0.1%
136.91
< 0.1%
131.03333331
< 0.1%

WBC-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct868
Distinct (%)4.8%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean10.27482528
Minimum0.1
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:38.394181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.4
Q17
median9.4
Q312.3
95-th percentile18.5
Maximum302
Range301.9
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation6.378892202
Coefficient of variation (CV)0.6208273162
Kurtosis412.8860134
Mean10.27482528
Median Absolute Deviation (MAD)2.6
Skewness13.38156119
Sum184946.855
Variance40.69026572
MonotonicityNot monotonic
2021-11-29T11:33:38.489264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8188
 
0.9%
7.4170
 
0.9%
9.8165
 
0.8%
10161
 
0.8%
8.6159
 
0.8%
7.6152
 
0.8%
8151
 
0.8%
7.1150
 
0.8%
8.2149
 
0.7%
8.4148
 
0.7%
Other values (858)16407
82.0%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.110
0.1%
0.23
 
< 0.1%
0.33
 
< 0.1%
0.31
 
< 0.1%
0.46
< 0.1%
0.51
 
< 0.1%
0.62
 
< 0.1%
0.751
 
< 0.1%
0.84
 
< 0.1%
0.91
 
< 0.1%
ValueCountFrequency (%)
3021
< 0.1%
200.81
< 0.1%
179.21
< 0.1%
165.11
< 0.1%
152.91
< 0.1%
144.91
< 0.1%
1431
< 0.1%
142.21
< 0.1%
136.91
< 0.1%
135.61
< 0.1%

Fibrinogen-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct518
Distinct (%)26.6%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean270.0433778
Minimum35
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:38.592776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile101.35
Q1176
median233
Q3324
95-th percentile573.15
Maximum1000
Range965
Interquartile range (IQR)148

Descriptive statistics

Standard deviation146.7863663
Coefficient of variation (CV)0.54356588
Kurtosis3.861013099
Mean270.0433778
Median Absolute Deviation (MAD)71
Skewness1.657538313
Sum526044.5
Variance21546.23733
MonotonicityNot monotonic
2021-11-29T11:33:38.696056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21722
 
0.1%
20018
 
0.1%
23015
 
0.1%
21315
 
0.1%
24014
 
0.1%
15114
 
0.1%
21914
 
0.1%
20214
 
0.1%
21413
 
0.1%
20813
 
0.1%
Other values (508)1796
 
9.0%
(Missing)18052
90.3%
ValueCountFrequency (%)
358
< 0.1%
411
 
< 0.1%
422
 
< 0.1%
463
 
< 0.1%
482
 
< 0.1%
501
 
< 0.1%
512
 
< 0.1%
524
< 0.1%
531
 
< 0.1%
571
 
< 0.1%
ValueCountFrequency (%)
10006
< 0.1%
9541
 
< 0.1%
9451
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
8881
 
< 0.1%
8821
 
< 0.1%
8781
 
< 0.1%
8671
 
< 0.1%
8361
 
< 0.1%

Fibrinogen-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct539
Distinct (%)27.7%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean322.0056468
Minimum35
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:38.796441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile147.35
Q1217
median288
Q3386
95-th percentile636.3
Maximum1179
Range1144
Interquartile range (IQR)169

Descriptive statistics

Standard deviation154.5451557
Coefficient of variation (CV)0.4799454831
Kurtosis3.148556483
Mean322.0056468
Median Absolute Deviation (MAD)80
Skewness1.529860586
Sum627267
Variance23884.20516
MonotonicityNot monotonic
2021-11-29T11:33:38.897967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21720
 
0.1%
20015
 
0.1%
23014
 
0.1%
30513
 
0.1%
23613
 
0.1%
33413
 
0.1%
20813
 
0.1%
28012
 
0.1%
22912
 
0.1%
21512
 
0.1%
Other values (529)1811
 
9.1%
(Missing)18052
90.3%
ValueCountFrequency (%)
351
< 0.1%
581
< 0.1%
612
< 0.1%
621
< 0.1%
651
< 0.1%
701
< 0.1%
711
< 0.1%
761
< 0.1%
812
< 0.1%
861
< 0.1%
ValueCountFrequency (%)
11791
 
< 0.1%
10008
< 0.1%
9661
 
< 0.1%
9542
 
< 0.1%
9451
 
< 0.1%
9321
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
9011
 
< 0.1%
8971
 
< 0.1%

Fibrinogen-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct955
Distinct (%)49.0%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean294.67792
Minimum35
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:39.004051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile136.21
Q1202
median260.1666667
Q3349.625
95-th percentile583.65
Maximum1000
Range965
Interquartile range (IQR)147.625

Descriptive statistics

Standard deviation142.6140188
Coefficient of variation (CV)0.483965744
Kurtosis3.77128363
Mean294.67792
Median Absolute Deviation (MAD)68.44047619
Skewness1.660304846
Sum574032.5881
Variance20338.75835
MonotonicityNot monotonic
2021-11-29T11:33:39.204030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21718
 
0.1%
23012
 
0.1%
20012
 
0.1%
20311
 
0.1%
21910
 
0.1%
20810
 
0.1%
21510
 
0.1%
23210
 
0.1%
2849
 
< 0.1%
2349
 
< 0.1%
Other values (945)1837
 
9.2%
(Missing)18052
90.3%
ValueCountFrequency (%)
351
< 0.1%
55.51
< 0.1%
56.51
< 0.1%
59.51
< 0.1%
611
< 0.1%
641
< 0.1%
651
< 0.1%
67.333333331
< 0.1%
701
< 0.1%
711
< 0.1%
ValueCountFrequency (%)
10006
< 0.1%
9541
 
< 0.1%
9451
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
8881
 
< 0.1%
8821
 
< 0.1%
8781
 
< 0.1%
871.83333331
 
< 0.1%
8671
 
< 0.1%

Fibrinogen-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct674
Distinct (%)34.6%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean293.2234343
Minimum35
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:39.306694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile133
Q1200
median258
Q3346.625
95-th percentile582.325
Maximum1000
Range965
Interquartile range (IQR)146.625

Descriptive statistics

Standard deviation143.5018304
Coefficient of variation (CV)0.4893941398
Kurtosis3.760735246
Mean293.2234343
Median Absolute Deviation (MAD)69.75
Skewness1.657971955
Sum571199.25
Variance20592.77533
MonotonicityNot monotonic
2021-11-29T11:33:39.409790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21718
 
0.1%
23015
 
0.1%
21514
 
0.1%
20013
 
0.1%
21912
 
0.1%
24711
 
0.1%
19011
 
0.1%
20811
 
0.1%
15411
 
0.1%
25011
 
0.1%
Other values (664)1821
 
9.1%
(Missing)18052
90.3%
ValueCountFrequency (%)
351
< 0.1%
55.51
< 0.1%
56.51
< 0.1%
59.51
< 0.1%
601
< 0.1%
612
< 0.1%
621
< 0.1%
641
< 0.1%
651
< 0.1%
701
< 0.1%
ValueCountFrequency (%)
10006
< 0.1%
9541
 
< 0.1%
9451
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
8881
 
< 0.1%
884.51
 
< 0.1%
8821
 
< 0.1%
8781
 
< 0.1%
8671
 
< 0.1%

Platelets-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct624
Distinct (%)3.5%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean190.2616892
Minimum1
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:39.510876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65
Q1129
median180
Q3238
95-th percentile348.65
Maximum2322
Range2321
Interquartile range (IQR)109

Descriptive statistics

Standard deviation92.41697197
Coefficient of variation (CV)0.4857361056
Kurtosis19.13541482
Mean190.2616892
Median Absolute Deviation (MAD)54
Skewness1.846470537
Sum3426232.5
Variance8540.896709
MonotonicityNot monotonic
2021-11-29T11:33:39.611416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180109
 
0.5%
141109
 
0.5%
183107
 
0.5%
162105
 
0.5%
166105
 
0.5%
167102
 
0.5%
168101
 
0.5%
175101
 
0.5%
159101
 
0.5%
18298
 
0.5%
Other values (614)16970
84.9%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
11
 
< 0.1%
24
< 0.1%
32
 
< 0.1%
47
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
83
< 0.1%
92
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
9201
< 0.1%
8381
< 0.1%
8221
< 0.1%
8111
< 0.1%
8061
< 0.1%
8031
< 0.1%
7921
< 0.1%
7821
< 0.1%
7731
< 0.1%

Platelets-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct651
Distinct (%)3.6%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean212.581908
Minimum4
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:39.712690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile88
Q1149
median199.5
Q3259
95-th percentile378.65
Maximum2322
Range2318
Interquartile range (IQR)110

Descriptive statistics

Standard deviation96.25496857
Coefficient of variation (CV)0.4527900303
Kurtosis17.39453052
Mean212.581908
Median Absolute Deviation (MAD)54.5
Skewness1.946998427
Sum3828175
Variance9265.018975
MonotonicityNot monotonic
2021-11-29T11:33:39.813250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167112
 
0.6%
206104
 
0.5%
178102
 
0.5%
175102
 
0.5%
204100
 
0.5%
18799
 
0.5%
20299
 
0.5%
17399
 
0.5%
15898
 
0.5%
17698
 
0.5%
Other values (641)16995
85.0%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
42
< 0.1%
53
< 0.1%
61
 
< 0.1%
72
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
113
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
11401
< 0.1%
10361
< 0.1%
9841
< 0.1%
9651
< 0.1%
9321
< 0.1%
9071
< 0.1%
8691
< 0.1%
8651
< 0.1%
8541
< 0.1%

Platelets-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2817
Distinct (%)15.6%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean201.0262893
Minimum4
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:39.913399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile78.84791667
Q1139.5
median189
Q3248
95-th percentile360.5
Maximum2322
Range2318
Interquartile range (IQR)108.5

Descriptive statistics

Standard deviation92.86094032
Coefficient of variation (CV)0.4619343105
Kurtosis19.09495413
Mean201.0262893
Median Absolute Deviation (MAD)54
Skewness1.932377351
Sum3620081.417
Variance8623.154238
MonotonicityNot monotonic
2021-11-29T11:33:40.013760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20677
 
0.4%
18274
 
0.4%
15871
 
0.4%
18670
 
0.4%
16268
 
0.3%
16767
 
0.3%
16867
 
0.3%
20066
 
0.3%
17366
 
0.3%
16566
 
0.3%
Other values (2807)17316
86.6%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
42
< 0.1%
4.52
< 0.1%
53
< 0.1%
72
< 0.1%
81
 
< 0.1%
101
 
< 0.1%
113
< 0.1%
11.333333331
 
< 0.1%
11.51
 
< 0.1%
11.751
 
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
1022.6666671
< 0.1%
893.51
< 0.1%
876.66666671
< 0.1%
876.251
< 0.1%
848.66666671
< 0.1%
8382
< 0.1%
8311
< 0.1%
8291
< 0.1%
8221
< 0.1%

Platelets-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1065
Distinct (%)5.9%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean200.6354953
Minimum3
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:40.113636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile77.5
Q1139
median189
Q3247.625
95-th percentile360.5
Maximum2322
Range2319
Interquartile range (IQR)108.625

Descriptive statistics

Standard deviation93.09205897
Coefficient of variation (CV)0.4639859902
Kurtosis18.94566391
Mean200.6354953
Median Absolute Deviation (MAD)54
Skewness1.921419293
Sum3613044
Variance8666.131443
MonotonicityNot monotonic
2021-11-29T11:33:40.214009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20689
 
0.4%
18687
 
0.4%
15885
 
0.4%
14185
 
0.4%
17383
 
0.4%
18783
 
0.4%
18283
 
0.4%
16882
 
0.4%
16781
 
0.4%
16580
 
0.4%
Other values (1055)17170
85.9%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
31
< 0.1%
42
< 0.1%
4.52
< 0.1%
52
< 0.1%
5.51
< 0.1%
71
< 0.1%
7.51
< 0.1%
82
< 0.1%
102
< 0.1%
10.51
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
10081
< 0.1%
9091
< 0.1%
893.51
< 0.1%
8661
< 0.1%
8551
< 0.1%
8541
< 0.1%
8381
< 0.1%
8341
< 0.1%
8311
< 0.1%

Age-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:40.317491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:33:40.413391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Age-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:40.513602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:33:40.608033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Age-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:40.707821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:33:40.901063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Age-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:41.001585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:33:41.096230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Gender-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1
10732 
0
9268 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Length

2021-11-29T11:33:41.187682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:41.232954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring characters

ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Gender-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1
10732 
0
9268 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Length

2021-11-29T11:33:42.100266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.153912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring characters

ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110732
53.7%
09268
46.3%

Gender-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1.0
10732 
0.0
9268 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Length

2021-11-29T11:33:42.210533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.264625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Most occurring characters

ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
029268
73.2%
110732
 
26.8%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Gender-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1.0
10732 
0.0
9268 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Length

2021-11-29T11:33:42.321534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.375586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Most occurring characters

ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
029268
73.2%
110732
 
26.8%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Unit1-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.431162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.483555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit1-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.539165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.591698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit1-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.647196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.699893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit1-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.755342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.808038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit2-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.863948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:42.916436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Unit2-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:42.972005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:43.024524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Unit2-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:43.080161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:43.132698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Unit2-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:33:43.188272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:43.240585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

HospAdmTime-min
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7975
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:33:43.414117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:33:43.519869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.01179
 
0.9%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0976
 
0.4%
-0.0859
 
0.3%
Other values (7965)17637
88.2%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.01179
 
0.9%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0859
 
0.3%
-0.0976
 
0.4%

HospAdmTime-max
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7975
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:33:43.623168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:33:43.729708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.01179
 
0.9%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0976
 
0.4%
-0.0859
 
0.3%
Other values (7965)17637
88.2%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.01179
 
0.9%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0859
 
0.3%
-0.0976
 
0.4%

HospAdmTime-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8890
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:33:43.833698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:33:43.940117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02238
 
1.2%
-0.01170
 
0.9%
-0.03134
 
0.7%
-0.04125
 
0.6%
-0.05104
 
0.5%
-0.0794
 
0.5%
-0.0678
 
0.4%
-0.0970
 
0.4%
-0.0855
 
0.3%
Other values (8880)17787
88.9%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.016
 
< 0.1%
-0.01170
 
0.9%
-0.013
 
< 0.1%
-0.026
 
< 0.1%
-0.02238
 
1.2%
-0.026
 
< 0.1%
-0.0337
 
0.2%
-0.03134
 
0.7%
-0.0326
 
0.1%

HospAdmTime-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7975
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:33:44.044881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:33:44.151997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.01179
 
0.9%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0976
 
0.4%
-0.0859
 
0.3%
Other values (7965)17637
88.2%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.01179
 
0.9%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0859
 
0.3%
-0.0976
 
0.4%

ICULOS-min
Real number (ℝ≥0)

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.13345
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:44.241978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum26
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6983304954
Coefficient of variation (CV)0.6161105434
Kurtosis213.6472826
Mean1.13345
Median Absolute Deviation (MAD)0
Skewness10.72522731
Sum22669
Variance0.4876654808
MonotonicityNot monotonic
2021-11-29T11:33:44.320579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
118704
93.5%
2741
 
3.7%
3219
 
1.1%
4146
 
0.7%
577
 
0.4%
654
 
0.3%
725
 
0.1%
814
 
0.1%
97
 
< 0.1%
133
 
< 0.1%
Other values (7)10
 
0.1%
ValueCountFrequency (%)
118704
93.5%
2741
 
3.7%
3219
 
1.1%
4146
 
0.7%
577
 
0.4%
654
 
0.3%
725
 
0.1%
814
 
0.1%
97
 
< 0.1%
103
 
< 0.1%
ValueCountFrequency (%)
261
 
< 0.1%
251
 
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
133
 
< 0.1%
121
 
< 0.1%
112
 
< 0.1%
103
 
< 0.1%
97
< 0.1%
814
0.1%

ICULOS-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct229
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.2332
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:44.413763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.2718112
Coefficient of variation (CV)0.6086807069
Kurtosis44.09947372
Mean38.2332
Median Absolute Deviation (MAD)12
Skewness4.971265249
Sum764664
Variance541.5771966
MonotonicityNot monotonic
2021-11-29T11:33:44.513958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39684
 
3.4%
40671
 
3.4%
36669
 
3.3%
38667
 
3.3%
41638
 
3.2%
43611
 
3.1%
42597
 
3.0%
37580
 
2.9%
21563
 
2.8%
44558
 
2.8%
Other values (219)13762
68.8%
ValueCountFrequency (%)
8193
1.0%
9105
 
0.5%
10116
 
0.6%
11111
 
0.6%
12151
0.8%
13190
0.9%
14214
1.1%
15319
1.6%
16330
1.7%
17360
1.8%
ValueCountFrequency (%)
3367
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%
3081
 
< 0.1%

ICULOS-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct229
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.683325
Minimum4.5
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:44.620857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile7.5
Q112
median20
Q324
95-th percentile29.5
Maximum170
Range165.5
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.64465905
Coefficient of variation (CV)0.5916002021
Kurtosis44.00773376
Mean19.683325
Median Absolute Deviation (MAD)6
Skewness4.964837969
Sum393666.5
Variance135.5980843
MonotonicityNot monotonic
2021-11-29T11:33:44.720880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20682
 
3.4%
19.5663
 
3.3%
20.5652
 
3.3%
18.5643
 
3.2%
21643
 
3.2%
22608
 
3.0%
21.5594
 
3.0%
19575
 
2.9%
22.5570
 
2.9%
11558
 
2.8%
Other values (219)13812
69.1%
ValueCountFrequency (%)
4.5193
1.0%
5102
 
0.5%
5.5115
 
0.6%
6105
 
0.5%
6.5145
 
0.7%
7176
0.9%
7.5202
1.0%
8294
1.5%
8.5325
1.6%
9375
1.9%
ValueCountFrequency (%)
1701
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
1681
 
< 0.1%
167.51
 
< 0.1%
1641
 
< 0.1%
163.51
 
< 0.1%
160.51
 
< 0.1%
159.51
 
< 0.1%
156.52
 
< 0.1%

ICULOS-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct229
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.683325
Minimum4.5
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:44.829555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile7.5
Q112
median20
Q324
95-th percentile29.5
Maximum170
Range165.5
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.64465905
Coefficient of variation (CV)0.5916002021
Kurtosis44.00773376
Mean19.683325
Median Absolute Deviation (MAD)6
Skewness4.964837969
Sum393666.5
Variance135.5980843
MonotonicityNot monotonic
2021-11-29T11:33:45.017837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20682
 
3.4%
19.5663
 
3.3%
20.5652
 
3.3%
18.5643
 
3.2%
21643
 
3.2%
22608
 
3.0%
21.5594
 
3.0%
19575
 
2.9%
22.5570
 
2.9%
11558
 
2.8%
Other values (219)13812
69.1%
ValueCountFrequency (%)
4.5193
1.0%
5102
 
0.5%
5.5115
 
0.6%
6105
 
0.5%
6.5145
 
0.7%
7176
0.9%
7.5202
1.0%
8294
1.5%
8.5325
1.6%
9375
1.9%
ValueCountFrequency (%)
1701
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
1681
 
< 0.1%
167.51
 
< 0.1%
1641
 
< 0.1%
163.51
 
< 0.1%
160.51
 
< 0.1%
159.51
 
< 0.1%
156.52
 
< 0.1%

SepsisLabel-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0
19777 
1
 
223

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

Length

2021-11-29T11:33:45.117422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.171781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

Most occurring characters

ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
019777
98.9%
1223
 
1.1%

SepsisLabel-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0
18858 
1
 
1142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Length

2021-11-29T11:33:45.227533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.281312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

SepsisLabel-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct295
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02389112032
Minimum0
Maximum1
Zeros18858
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:45.346794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.07438016529
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1289478231
Coefficient of variation (CV)5.397311693
Kurtosis42.14090161
Mean0.02389112032
Median Absolute Deviation (MAD)0
Skewness6.400592311
Sum477.8224064
Variance0.01662754107
MonotonicityNot monotonic
2021-11-29T11:33:45.450709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018858
94.3%
1223
 
1.1%
0.909090909126
 
0.1%
0.833333333319
 
0.1%
0.666666666719
 
0.1%
0.454545454516
 
0.1%
0.769230769214
 
0.1%
0.476190476214
 
0.1%
0.227272727313
 
0.1%
0.62513
 
0.1%
Other values (285)785
 
3.9%
ValueCountFrequency (%)
018858
94.3%
0.0059880239521
 
< 0.1%
0.0063291139241
 
< 0.1%
0.011627906981
 
< 0.1%
0.013793103451
 
< 0.1%
0.017857142861
 
< 0.1%
0.02214022141
 
< 0.1%
0.022222222221
 
< 0.1%
0.026865671641
 
< 0.1%
0.028846153851
 
< 0.1%
ValueCountFrequency (%)
1223
1.1%
0.909090909126
 
0.1%
0.93
 
< 0.1%
0.833333333319
 
0.1%
0.81818181822
 
< 0.1%
0.769230769214
 
0.1%
0.751
 
< 0.1%
0.714285714313
 
0.1%
0.69230769233
 
< 0.1%
0.666666666719
 
0.1%

SepsisLabel-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
19615 
1.0
 
376
0.5
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.019615
98.1%
1.0376
 
1.9%
0.59
 
< 0.1%

Length

2021-11-29T11:33:45.547007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.601890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.019615
98.1%
1.0376
 
1.9%
0.59
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
039615
99.0%
1376
 
0.9%
59
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Sepsis-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0
18858 
1
 
1142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Length

2021-11-29T11:33:45.663857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.717674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Sepsis-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0
18858 
1
 
1142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Length

2021-11-29T11:33:45.773691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.827524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common20000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018858
94.3%
11142
 
5.7%

Sepsis-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
18858 
1.0
 
1142

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Length

2021-11-29T11:33:45.883415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:45.937340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038858
97.1%
11142
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Sepsis-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
18858 
1.0
 
1142

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Length

2021-11-29T11:33:45.994047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:33:46.047929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038858
97.1%
11142
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Hours-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:46.111954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:33:46.212520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Hours-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:46.319253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:33:46.419909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Hours-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:46.614649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:33:46.715456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Hours-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:33:46.823858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:33:46.926365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Interactions

Correlations

2021-11-29T11:33:47.262144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-11-29T11:33:50.892790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-11-29T11:33:54.615420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-11-29T11:33:58.025873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-11-29T11:32:54.591447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-11-29T11:33:00.613374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-11-29T11:33:09.839404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

PatientIDHR-minHR-maxHR-meanHR-medianO2Sat-minO2Sat-maxO2Sat-meanO2Sat-medianTemp-minTemp-maxTemp-meanTemp-medianSBP-minSBP-maxSBP-meanSBP-medianMAP-minMAP-maxMAP-meanMAP-medianDBP-minDBP-maxDBP-meanDBP-medianResp-minResp-maxResp-meanResp-medianEtCO2-minEtCO2-maxEtCO2-meanEtCO2-medianBaseExcess-minBaseExcess-maxBaseExcess-meanBaseExcess-medianHCO3-minHCO3-maxHCO3-meanHCO3-medianFiO2-minFiO2-maxFiO2-meanFiO2-medianpH-minpH-maxpH-meanpH-medianPaCO2-minPaCO2-maxPaCO2-meanPaCO2-medianSaO2-minSaO2-maxSaO2-meanSaO2-medianAST-minAST-maxAST-meanAST-medianBUN-minBUN-maxBUN-meanBUN-medianAlkalinephos-minAlkalinephos-maxAlkalinephos-meanAlkalinephos-medianCalcium-minCalcium-maxCalcium-meanCalcium-medianChloride-minChloride-maxChloride-meanChloride-medianCreatinine-minCreatinine-maxCreatinine-meanCreatinine-medianBilirubin_direct-minBilirubin_direct-maxBilirubin_direct-meanBilirubin_direct-medianGlucose-minGlucose-maxGlucose-meanGlucose-medianLactate-minLactate-maxLactate-meanLactate-medianMagnesium-minMagnesium-maxMagnesium-meanMagnesium-medianPhosphate-minPhosphate-maxPhosphate-meanPhosphate-medianPotassium-minPotassium-maxPotassium-meanPotassium-medianBilirubin_total-minBilirubin_total-maxBilirubin_total-meanBilirubin_total-medianTroponinI-minTroponinI-maxTroponinI-meanTroponinI-medianHct-minHct-maxHct-meanHct-medianHgb-minHgb-maxHgb-meanHgb-medianPTT-minPTT-maxPTT-meanPTT-medianWBC-minWBC-maxWBC-meanWBC-medianFibrinogen-minFibrinogen-maxFibrinogen-meanFibrinogen-medianPlatelets-minPlatelets-maxPlatelets-meanPlatelets-medianAge-minAge-maxAge-meanAge-medianGender-minGender-maxGender-meanGender-medianUnit1-minUnit1-maxUnit1-meanUnit1-medianUnit2-minUnit2-maxUnit2-meanUnit2-medianHospAdmTime-minHospAdmTime-maxHospAdmTime-meanHospAdmTime-medianICULOS-minICULOS-maxICULOS-meanICULOS-medianSepsisLabel-minSepsisLabel-maxSepsisLabel-meanSepsisLabel-medianSepsis-minSepsis-maxSepsis-meanSepsis-medianHours-minHours-maxHours-meanHours-median
010000191.0107.098.61363698.0092.099.095.34090995.036.537.036.76000036.800104.0123.0112.772727112.075.089.083.11363684.055.072.064.27272763.0016.023.519.47727320.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN30.030.030.00000030.0NaNNaNNaNNaN7.807.87.8000007.80NaNNaNNaNNaN1.501.501.5000001.500NaNNaNNaNNaN112.0233.0149.000000123.0NaNNaNNaNNaN2.02.12.0500002.05NaNNaNNaNNaN3.704.23.9500003.95NaNNaNNaNNaNNaNNaNNaNNaN35.335.335.3035.3011.311.311.3011.3NaNNaNNaNNaN10.810.810.80000010.80NaNNaNNaNNaN170.0170.0170.000000170.0737373.073.0111.01.01.01.01.01.00.00.00.00.0-214.64-214.64-214.64-214.6412412.512.5000.00.0000.00.0242424.024.0
110000256.071.564.28260964.0094.0100.097.86956598.035.237.937.33043537.50086.0157.0126.978261129.056.095.080.26087083.041.071.059.50000062.0016.026.021.82608722.0035.039.037.16666737.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17.017.017.00000017.0NaNNaNNaNNaN8.208.28.2000008.20NaNNaNNaNNaN0.840.840.8400000.840NaNNaNNaNNaN68.0222.0130.916667113.5NaNNaNNaNNaN2.22.32.2500002.251.83.62.7002.703.805.24.5666674.70NaNNaNNaNNaN3.703.703.7000003.70031.431.431.4031.4011.111.111.1011.1NaNNaNNaNNaN13.213.213.20000013.20NaNNaNNaNNaN85.085.085.00000085.0838383.083.0111.01.00.00.00.00.01.01.01.01.0-123.17-123.17-123.17-123.1712513.013.0000.00.0000.00.0252525.025.0
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310000464.0130.091.42982585.0096.0100.099.892857100.036.738.037.60000037.700101.0160.0134.309091132.064.0120.085.27272784.052.0104.069.14545565.0010.017.011.96000012.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN676767.067.0111.01.01.01.01.01.00.00.00.00.0-1.93-1.93-1.93-1.9315930.030.0000.00.0000.00.0595959.059.0
410000554.0130.073.81818269.0076.5100.096.56818297.536.038.936.67368436.30088.0184.5135.383721137.058.095.075.15853775.037.084.057.16279155.0018.040.025.26190524.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.40.40.40.47.527.557.5357.53523.524.323.923.992.595.694.0594.0540.040.040.040.044.063.054.80000055.0231.0231.0231.0231.01.098.96.5571438.70NaNNaNNaNNaN1.171.281.2000001.180NaNNaNNaNNaN89.0162.0142.454545145.02.712.842.7752.7751.82.11.9500001.954.54.54.5004.503.745.95.1428575.200.60.60.600.600.020.040.0325000.03520.326.524.5825.306.69.08.168.524.135.330.56666732.310.617.314.56666715.80NaNNaNNaNNaN341.0421.0375.666667365.0505050.050.0111.01.01.01.01.01.00.00.00.00.0-3.27-3.27-3.27-3.2715226.526.5000.00.0000.00.0525252.052.0
510000656.087.071.11111171.0093.0100.094.83333395.036.037.036.53125036.525122.0161.5143.277778145.075.0111.594.60000097.054.091.072.48148174.0013.021.017.01851917.00NaNNaNNaNNaNNaNNaNNaNNaN22.625.023.823.8NaNNaNNaNNaNNaNNaNNaNNaN37.042.039.539.598.598.898.6598.6538.038.038.038.013.017.015.66666717.051.051.051.051.07.809.18.5000008.60NaNNaNNaNNaN0.640.870.7400000.710NaNNaNNaNNaN165.0306.0231.375000222.5NaNNaNNaNNaN1.82.32.0500002.055.15.15.1005.103.804.94.3600004.401.11.11.101.10NaNNaNNaNNaN43.350.346.9047.0014.616.715.7815.924.224.224.20000024.27.78.88.0666677.70NaNNaNNaNNaN137.0172.0152.333333148.0505050.050.0111.01.0NaNNaNNaNNaNNaNNaNNaNNaN0.000.000.000.0065229.029.0000.00.0000.00.0474747.047.0
610000776.0109.089.30555689.0094.0100.097.50000097.036.837.337.15555637.200115.0168.0145.847222145.084.0112.094.44444492.562.091.073.50000071.5010.022.017.88235318.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN34.034.034.034.014.017.015.50000015.5112.0112.0112.0112.08.408.58.4500008.45NaNNaNNaNNaN0.400.410.4050000.4050.10.10.100.10125.0141.0131.333333128.0NaNNaNNaNNaN1.71.71.7000001.704.04.04.0004.003.804.03.9000003.900.50.50.500.50NaNNaNNaNNaN25.026.425.9826.407.98.48.148.226.626.626.60000026.67.07.07.0000007.00NaNNaNNaNNaN403.0403.0403.000000403.0424242.042.0111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-1145.97-1145.97-1145.97-1145.9713719.019.0000.00.0000.00.0373737.037.0
710000871.0104.080.94565279.7559.0100.095.42222297.035.837.836.70375036.65091.0208.0148.706522148.063.5115.083.06521781.040.084.560.22826158.0013.028.019.16666718.0021.042.534.00000034.0NaNNaNNaNNaNNaNNaNNaNNaN0.40.40.40.47.197.437.3567.40030.050.038.233.0NaNNaNNaNNaNNaNNaNNaNNaN38.051.043.00000042.5NaNNaNNaNNaN1.139.15.2036367.90104.0105.0104.2104.02.173.822.9183333.020NaNNaNNaNNaN82.0219.0134.695652123.01.312.001.7361.8302.42.52.4400002.403.25.64.2754.155.106.35.4727275.40NaNNaNNaNNaNNaNNaNNaNNaN21.229.524.3022.207.09.88.007.2NaNNaNNaNNaN7.612.910.70000011.60NaNNaNNaNNaN93.0134.0112.333333110.0656565.065.0111.01.00.00.00.00.01.01.01.01.0-211.64-211.64-211.64-211.6415025.525.5000.00.0000.00.0505050.050.0
810000956.088.069.38461567.0094.0100.097.86538598.036.136.836.43333336.450103.0154.0138.031250140.054.097.582.31250083.549.084.065.58333364.2514.018.517.12500017.75NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.012.012.00000012.0NaNNaNNaNNaN9.309.39.3000009.30NaNNaNNaNNaN0.710.710.7100000.710NaNNaNNaNNaN103.0103.0103.000000103.0NaNNaNNaNNaN1.91.91.9000001.90NaNNaNNaNNaN3.903.93.9000003.90NaNNaNNaNNaNNaNNaNNaNNaN36.236.236.2036.2011.811.811.8011.8NaNNaNNaNNaN5.75.75.7000005.70NaNNaNNaNNaN201.0201.0201.000000201.0828282.082.0000.00.0NaNNaNNaNNaNNaNNaNNaNNaN-128.39-128.39-128.39-128.3913015.515.5000.00.0000.00.0303030.030.0
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Last rows

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